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ATOLL LTE FEATURES ATOLL LTE FEATURES

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 2 of 149

1. LTE Concepts Context and background OFDM/OFDMA basics © Forsk 2009 Confidential – Do 1. LTE Concepts Context and background OFDM/OFDMA basics © Forsk 2009 Confidential – Do not share without prior permission Slide 3 of 149

Context and Background What is LTE? What is 4 G? Why LTE? LTE deployment Context and Background What is LTE? What is 4 G? Why LTE? LTE deployment RF planning/optimisation tool requirements for LTE Evolution of LTE © Forsk 2009 Confidential – Do not share without prior permission Slide 4 of 149

What is LTE? LTE = Long Term Evolution 3 GPP 1’s project name for What is LTE? LTE = Long Term Evolution 3 GPP 1’s project name for Evolved UTRA 2 (e-UTRA) Next generation of 3 GPP-based mobile networks (GSM/GPRS/EDGE, UMTS/HSPA, and TD-SCDMA) One of the 3 standards on which 4 G cellular networks will be based LTE Wi. MAX © Forsk 2009 from IEEE and the Wi. MAX Forum UMB 3 1 2 3 from 3 GPP 2 Third Generation Partnership Project UMTS Terrestrial Radio Access Ultra Mobile Broadband Confidential – Do not share without prior permission Slide 5 of 149

What is 4 G? Provides improvements over existing 2 G and 3 G networks What is 4 G? Provides improvements over existing 2 G and 3 G networks High data rates at high mobile speeds: ~100 Mbps in DL, 50 Mbps in UL with MIMO Inter-working and support for mobility: Handovers to 3 G and 2 G layers and roaming Service and content convergence: Vo. IP, download, streaming, TV, VOD, etc. All IP backbone Based on some form of OFDM Implement smart antenna/MIMO techniques Use higher order modulation techniques Support for scalability: Channel bandwidth adaptation © Forsk 2009 Confidential – Do not share without prior permission Slide 6 of 149

What is 4 G? Evolution of Mobile Technologies Wi. MAX 802. 16 e-2005 OFDM What is 4 G? Evolution of Mobile Technologies Wi. MAX 802. 16 e-2005 OFDM All-IP MIMO Wi. MAX 802. 16 m AAS OFDM All-IP CDMA 2000 EV-DO Rev. A MIMO AAS EV-DO Rev. C IP transport OFDM All-IP MIMO AAS 3 G LTE HSPA+ HSDPA / HSUPA IP Transport MIMO All-IP OFDM All-IP MIMO AAS EDGE Evolution 2006 © Forsk 2009 2007 2008 Confidential – Do not share without prior permission 2009 Slide 7 of 149

What is 4 G? Evolution of 3 GPP Standards Release ’ 99: Release 4: What is 4 G? Evolution of 3 GPP Standards Release ’ 99: Release 4: Release 5: Release 6: Release 7: Release 8: © Forsk 2009 UMTS FDD UMTS TDD + FDD Repeaters HSDPA HSUPA (Enhanced Uplink) + MBMS HSPA+ (2 x 2 MIMO, Higher Order Modulation, etc. ) LTE FDD and TDD Confidential – Do not share without prior permission Slide 8 of 149

Why LTE? Huge potential market share GSM (80. 4 % market share) Around 670 Why LTE? Huge potential market share GSM (80. 4 % market share) Around 670 operators in ~200 countries More than 3 billion subscribers worldwide UMTS HSPA (7. 8 % market share) Around 105 operators in ~47 countries Nearly 300 million subscribers worldwide Potential market share for UMB: 11 % Economic Possibility to reuse part of existing 3 G equipment hardware with software defined radio Spectrum already allocated to operators Convergence of market and user needs Multi-play services (voice, data, broadcast, …) Number of mobile subscriptions worldwide: > 3. 8 billion © Forsk 2009 Confidential – Do not share without prior permission Slide 9 of 149

Why LTE? Improvements over 3 G (UMTS HSPA) Data Rates DL: 14. 4 Mbps Why LTE? Improvements over 3 G (UMTS HSPA) Data Rates DL: 14. 4 Mbps & UL: 5. 7 Mbps Up to 100 Mbps DL and 50 Mbps UL Cyclic Prefix Highly sensitive to Inter-symbol Interference LTE vs. 3 G Min 5 MHz Spectrum Min 1. 4 MHz Orthogonal Subcarriers © Forsk 2009 Highly sensitive to Frequency Selective Fading Confidential – Do not share without prior permission Slide 10 of 149

LTE Deployment 1 st phase: A few trial sites in urban areas where provision LTE Deployment 1 st phase: A few trial sites in urban areas where provision of high data rate services has market potential Site locations probably the same as existing 3 G sites Spectrum sharing with existing 3 G cell (1 carrier dedicated to the trial LTE layer) 2 nd phase: Replacement of 3 G sites with on-air LTE sites, or Co-existence of 3 G and LTE coverage layers High Speed © Forsk 2009 Handovers Confidential – Do not share without prior permission High Throughput Slide 11 of 149

LTE Deployment Migration from any 3 GPP technology to LTE Rational choice for GSM LTE Deployment Migration from any 3 GPP technology to LTE Rational choice for GSM and GSM/UMTS operators Some CDMA operators might also opt for LTE instead of UMB Very few GSM operators would opt for Wi. MAX Rarely any green-field scenarios GSM GPRS EDGE UMTS HSPA LTE Non-3 GPP Technologies © Forsk 2009 Confidential – Do not share without prior permission Slide 12 of 149

Evolution of LTE Future: IMT-Advanced Most 4 G networks will move to • • Evolution of LTE Future: IMT-Advanced Most 4 G networks will move to • • LTE Advanced Wi. MAX 802. 16 m 100 Mbps to 1 Gbps in DL • • © Forsk 2009 100 Mbps for fast moving users 1 Gbps for slow to stationary users Confidential – Do not share without prior permission Slide 13 of 149

OFDM/OFDMA Basics OFDM definition and differences between FDM and OFDM Advanced OFDM : OFDMA OFDM/OFDMA Basics OFDM definition and differences between FDM and OFDM Advanced OFDM : OFDMA Multiple access techniques and duplexing methods Benefits of OFDM/OFDMA in LTE © Forsk 2009 Confidential – Do not share without prior permission Slide 14 of 149

What is OFDM ? OFDM = Orthogonal Frequency Division Multiplexing Also known as Discrete What is OFDM ? OFDM = Orthogonal Frequency Division Multiplexing Also known as Discrete Multi. Tone (DMT) or Multi-Carrier Modulation (MCM) Advanced form of Frequency Division Multiplexing (FDM) • FDM : single modulated radio signal per user • OFDM : hundreds to thousands of separate radio signals (subcarriers) spread across a wideband channel. In OFDM, the sub-carrier frequencies are chosen so that the subcarriers are orthogonal to each other Time period for modulation: OFDM symbol • • © Forsk 2009 Adjustable guard periods : cyclic prefix used to dissipate multipath effect Symbol rate = f(channel bandwidth, carrier spacing - Distance between subcarriers) Confidential – Do not share without prior permission Slide 15 of 149

OFDM Frequency and Time Domains Time Subcarriers Frequency Symbols 1 OFDM symbol © Forsk OFDM Frequency and Time Domains Time Subcarriers Frequency Symbols 1 OFDM symbol © Forsk 2009 Confidential – Do not share without prior permission Slide 16 of 149

Differences between FDM and OFDM (Frequency Division Multiplexing) Carriers separated by guard bands low Differences between FDM and OFDM (Frequency Division Multiplexing) Carriers separated by guard bands low spectrum usage efficiency More carriers more guard bands decrease in efficiency Therefore, usually large carrier widths are used Large carrier widths low symbol duration (f=(1/t)) more sensitive to time delays © Forsk 2009 Confidential – Do not share without prior permission Slide 17 of 149

Differences between FDM and OFDM (Orthogonal Frequency Division Multiplexing) Centre point of subcarrier c Differences between FDM and OFDM (Orthogonal Frequency Division Multiplexing) Centre point of subcarrier c intersects with subcarriers c-1 and c+1 at their 0 values Narrowband orthogonal carriers negligible inter-carrier-interference (ICI) Long symbol durations + cyclic prefix negligible inter-symbol-interference (ISI) No ICI and ISI no intra-cell interference Possibility to support less robust modulations like 64 QAM, 16 QAM, … for higher throughput © Forsk 2009 Confidential – Do not share without prior permission Slide 18 of 149

Advanced OFDM : OFDMA : Orthogonal Frequency Division Multiple Access OFDM Subchannels Each user Advanced OFDM : OFDMA : Orthogonal Frequency Division Multiple Access OFDM Subchannels Each user is allocated the full channel : capacity wasting OFDMA Subchannels Each user can be assigned only a part of the entire channel at a time Ability to subdivide the subcarrier population : more than one user served at a time © Forsk 2009 Confidential – Do not share without prior permission Slide 19 of 149

Benefits of OFDM/OFDMA Negligible inter-carrier-interference (ICI) Thanks to orthogonal subcarriers which can be transmitted Benefits of OFDM/OFDMA Negligible inter-carrier-interference (ICI) Thanks to orthogonal subcarriers which can be transmitted by the use of Fast Fourier Transform (equipment evolution) Use of less robust modulation • Increased data rate Improved resilience (ISI) Sending data across parallel carriers lower rate/carrier Fewer modulation symbols longer symbol duration • Better chance to correctly sample signal Efficient usage of the spectrum Better resistance to frequency selective fading channel Multiple access (time and frequency multiplexing techniques) © Forsk 2009 Confidential – Do not share without prior permission Slide 20 of 149

Multiplexing and Duplexing Uses SOFDMA (same as Wi. MAX 802. 16 e) in DL Multiplexing and Duplexing Uses SOFDMA (same as Wi. MAX 802. 16 e) in DL SOFDMA: Scalable Orthogonal Frequency Division Multiple Access Uses SC-FDMA in UL (an OFDM variant not much different from SOFDMA) SC-FDMA: Single-Carrier Frequency Division Multiple Access Can be deployed in FDD and TDD © Forsk 2009 Confidential – Do not share without prior permission Slide 21 of 149

Multiple Access Techniques 1 g 4 g © Forsk 2009 2 g 3 g Multiple Access Techniques 1 g 4 g © Forsk 2009 2 g 3 g Confidential – Do not share without prior permission Slide 22 of 149

OFDM and OFDMA Orthogonal Frequency Division Multiple Access Provides resource allocation flexibility Scalable OFDMA OFDM and OFDMA Orthogonal Frequency Division Multiple Access Provides resource allocation flexibility Scalable OFDMA Channel bandwidth is scalable, i. e. , can be adapted as needed 1. 4 3 5 10 15 20 Bandwidth (MHz) © Forsk 2009 Confidential – Do not share without prior permission Slide 23 of 149

LTE Channel Structure OFDMA in DL and SC-FDMA in UL A channel is composed LTE Channel Structure OFDMA in DL and SC-FDMA in UL A channel is composed of more than 1 Frequency Block (FB) • • Equivalent of Subchannel in Wi. MAX Fixed width = 180 k. Hz (LTE system level constant) 1 Frequency Block over 1 slot = 1 Resource Block (RB) (Elementary unit assigned to 1 user) Benefit of SC-FDMA: Low Peak-to-Average Power Ratio (PAPR) Easier UE Design Each FB is composed of many Subcarriers • • • © Forsk 2009 Two Subcarrier widths possible: 15 k. Hz, 7. 5 k. Hz 1 FB = 12 SCa of 15 k. Hz OR 24 SCa of 7. 5 k. Hz specified for MBMS/SFN services • Narrow subcarrier width Longer symbol duration + Longer Cyclic Prefix = More resistant against multipath Confidential – Do not share without prior permission Slide 24 of 149

LTE Channel Structure Spectrum Allocation Sampling Frequency FFT Size Number of RBs Number of LTE Channel Structure Spectrum Allocation Sampling Frequency FFT Size Number of RBs Number of Used Subcarriers 1. 4 MHz 1. 92 MHz (1/2 x 3. 84) 128 6 72 (73) 3 MHz 3. 84 MHz (1 x 3. 84) 256 15 180 (181) 7. 68 MHz (2 x 3. 84) 512 25 300 (301) 15. 36 MHz (4 x 3. 84) 1024 50 600 (601) 15 MHz 23. 04 MHz (6 x 3. 84) 1536 75 900 (901) 20 MHz 30. 72 MHz (8 x 3. 84) 2048 100 1200 (1201) 5 MHz 10 MHz © Forsk 2009 Subcarrier Spacing 15 k. Hz (7. 5 k. Hz for MBMS) Confidential – Do not share without prior permission Slide 25 of 149

LTE Frame Structure TDD and FDD Specific frame structures for TDD and FDD 1 LTE Frame Structure TDD and FDD Specific frame structures for TDD and FDD 1 frame = 10 ms = 2 half-frames (TDD) = 10 subframes or TTI (each 1 ms) = 20 slots (each 0. 5 ms) 1 slot (0. 5 ms) = 6 or 7 symbol durations Control channels transmitted on subframes 0 and 5 (always DL) Two possible cyclic prefix durations: Normal or Extended (resp. 7 or 6 OFDM symbols per slot) 10 ms LTE Frame 1 ms SF 0 SF 1 ………………. . SF 9 0. 5 ms Slot 0 Slot 1 Slot 2 Slot 3 © Forsk 2009 ………………. . Confidential – Do not share without prior permission Slot 18 Slot 19 Slide 26 of 149

LTE Frame Structure FDD Frame TDD Frame with (Dw. PTS, GP, and Up. PTS LTE Frame Structure FDD Frame TDD Frame with (Dw. PTS, GP, and Up. PTS as in TD-SCDMA) Full- and Half-frame switching point periodicity Half-frame periodicity provides the same half-frame structure as a TD-SCDMA subframe © Forsk 2009 Confidential – Do not share without prior permission Slide 27 of 149

Physical Channels HARQ feedback CQI reporting UL scheduling request CQI reporting for MIMO related Physical Channels HARQ feedback CQI reporting UL scheduling request CQI reporting for MIMO related feedback Random access l hanne ess C m Acc ndo ical Ra Traffic l hanne ared C link Sh cal Up annel Physi trol Ch nk Con al Upli Physic Phys -SCH y Primar ry-SCH annel red Ch a ink Sh Downl al nnel Physic al Cha Physic ontrol l on C hanne Comm ntrol C ink Co Downl al Physic da Secon Slot/Frame synchronization & Cell Id identification Traffic, MBMS Control information Paging © Forsk 2009 e. Node-B HARQ feedback Transport format UL scheduling grant Resource allocation Confidential – Do not share without prior permission Slide 28 of 149

Control and Traffic Channels DL TCH © Forsk 2009 UL TCH Confidential – Do Control and Traffic Channels DL TCH © Forsk 2009 UL TCH Confidential – Do not share without prior permission Slide 29 of 149

OFDMA LTE Frame (DL) Structure of a Resource Block Frame structure of Type I, OFDMA LTE Frame (DL) Structure of a Resource Block Frame structure of Type I, 1 antenna, ΔF = 15 k. Hz • Standard frequency block • Any frequency block within the centre 6 frequency blocks: Legend: Downlink Reference Signals PBCH P-SCH S-SCH PDCCH / PHICH / PCFICH DL-SCH Subcarriers in a resource block are adjacent RBs allocated to mobiles are not necessary adjacent Interference Coordination © Forsk 2009 Confidential – Do not share without prior permission Slide 30 of 149

OFDMA LTE Frame (DL) SF 1 OFDM Symbol 6 Legend: Downlink Reference signals PBCH OFDMA LTE Frame (DL) SF 1 OFDM Symbol 6 Legend: Downlink Reference signals PBCH P-SCH S-SCH PDCCH / PHICH / PCFICH DL-SCH 1 subframe = 2 slots (1 ms) SF 0 OFDM Symbol 5 CP OFDM Symbol 4 CP OFDM Symbol 3 CP CP OFDM Symbol 2 0 1 2 3 4 5 6 Centre 6 RBs 0 1 2 3 4 5 6 OFDM Symbol 1 CP OFDM Symbol 0 CP CP 7 OFDM symbols at normal CP per slot (0. 5 ms) SF 2 SF 3 SF 4 SF 5 SF 6 SF 7 SF 8 SF 9 1 frame = 10 subframes (10 ms) P-SCH and S-SCH ~ Preamble in Wi. MAX DL Reference signals ~ Pilot subcarriers in Wi. MAX © Forsk 2009 Confidential – Do not share without prior permission Slide 31 of 149

SC-FDMA LTE Frame (UL) 0 1 2 3 4 5 6 SF 1 OFDM SC-FDMA LTE Frame (UL) 0 1 2 3 4 5 6 SF 1 OFDM Symbol 6 0 1 2 3 4 5 6 Legend: Uplink Demodulation Reference Signal Uplink Sounding Reference Signal PUCCH Demodulation Reference Signal for PUCCH 1 subframe = 2 slots (1 ms) SF 0 OFDM Symbol 5 CP OFDM Symbol 4 CP OFDM Symbol 3 CP OFDM Symbol 2 CP OFDM Symbol 1 CP OFDM Symbol 0 CP CP 7 OFDM symbols at normal CP per slot (0. 5 ms) SF 2 SF 3 SF 4 SF 5 SF 6 SF 7 SF 8 SF 9 1 frame = 10 subframes (10 ms) © Forsk 2009 Confidential – Do not share without prior permission Slide 32 of 149

Cell Search/Synchronisation UE SCH detection over a 1. 4/3/5/10/15/20 MHz spectrum SCH in 1. Cell Search/Synchronisation UE SCH detection over a 1. 4/3/5/10/15/20 MHz spectrum SCH in 1. 25 MHz/72 subcarriers BCH in 1. 25 MHz/72 subcarriers e. Node-B Detect spectrum centre and 1. 25 MHz spectrum SCH and BCH band 1. 4/3/5/10/15/20 MHz spectrum 1. 25 MHz spectrum SCH and BCH frequency reception 72 subcarriers Data transmission on assigned spectrum provided by System Information © Forsk 2009 BCH information reception Sub-carriers for data Confidential – Do not share without prior permission Slide 33 of 149

Frequency Planning Usual 1 x 3 x 1 and 1 x 3 x 3 Frequency Planning Usual 1 x 3 x 1 and 1 x 3 x 3 allocations F 1 F 1 F 1 F 3 F 2 Frequency F 2 Fractional Frequency Allocation: like segmentation in Wi. MAX Possibility to allocate 3 fractions of the a channel to 3 sectors of a site Provides better spectrum usage and interference reduction Seg 1 Seg 2 Seg 3 F 1 Seg 3 © Forsk 2009 Seg 2 F 1 Seg 3 F 1 Seg 2 Confidential – Do not share without prior permission Slide 34 of 149

Handovers in LTE Hard handover Fast BS Selection No soft handover specified for LTE Handovers in LTE Hard handover Fast BS Selection No soft handover specified for LTE © Forsk 2009 Confidential – Do not share without prior permission Slide 35 of 149

MIMO Systems in LTE Multiple Input Multiple Outputs (MIMO) systems Stations and user equipment MIMO Systems in LTE Multiple Input Multiple Outputs (MIMO) systems Stations and user equipment can support MIMO systems • Numbers of transmission and reception antenna ports at the transmitter and user equipment Supported MIMO systems: • • Single-user MIMO or spatial multiplexing (SM) • More than one transmission antenna to send different data streams on each antenna • Improvement of throughput for a given CINR • Adaptive MIMO switch (AMS) • Technique to switch from SM to Tx/Rx Diversity as CINR conditions get worse than a given threshold • © Forsk 2009 Transmit or Receive Diversity (Tx/Rx Div) • More than one transmission antenna to send the same data • Improvement of CINR Multi-user MIMO or collaborative MIMO • Multiplexing of several users with good enough radio conditions • More than one cell reception antenna to receive transmissions from several users over the same frequency-time allocation (UL only) • Can be used with single-antenna user equipment • Improvement of UL capacity in terms of number of connected users Confidential – Do not share without prior permission Slide 36 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 37 of 149

2. LTE Planning Overview LTE features supported in Atoll LTE workflow in Atoll © 2. LTE Planning Overview LTE features supported in Atoll LTE workflow in Atoll © Forsk 2009 Confidential – Do not share without prior permission Slide 38 of 149

LTE Features supported in Atoll Supports Evolved UTRA (3 GPP Release 8 LTE) Networks LTE Features supported in Atoll Supports Evolved UTRA (3 GPP Release 8 LTE) Networks Various frequency bands Scalable channel bandwidths Resource blocks per channel and sampling frequencies Support of TDD and FDD frame structures Half-frame/full-frame switching point periodicities for TDD Normal and extended cyclic prefixes Downlink and uplink control channels and overheads • Downlink and uplink reference signals, P-SCH, S-SCH, PBCH, PDCCH, PUCCH, etc. Physical cell IDs Possibility of fixed subscriber database for fixed applications Support of directional CPE antennas © Forsk 2009 Confidential – Do not share without prior permission Slide 39 of 149

LTE Features supported in Atoll Supports Evolved UTRA (3 GPP Release 8 LTE) Networks LTE Features supported in Atoll Supports Evolved UTRA (3 GPP Release 8 LTE) Networks Signal level based coverage planning CINR based coverage planning Network capacity analysis using Monte Carlo simulations Scheduling and resource allocation in two-dimensional frames Multiple Input Multiple Output (MIMO) systems • • Transmit and Receive Diversity Single-User MIMO or spatial multiplexing Adaptive MIMO Switch (AMS) Modelling of Multi-User MIMO (collaborative MIMO – UL only) Tools for resource allocation • • Automatic allocation of neighbours and physical cell Ids Automatic allocation of frequencies (AFP) (Optional) Network verification possible using test mobile data © Forsk 2009 Confidential – Do not share without prior permission Slide 40 of 149

LTE Workflow in Atoll Open an existing project or create a new one Network LTE Workflow in Atoll Open an existing project or create a new one Network configuration - Add network elements - Change parameters Basic predictions (Best server, signal level) Automatic or manual neighbour allocation Automatic or manual frequency planning Automatic or manual physical cell ID planning Traffic maps Monte-Carlo simulations And/or Subscriber lists User-defined values Cell load conditions Signal quality and throughput predictions © Forsk 2009 Frequency plan analysis Confidential – Do not share without prior permission Prediction study reports Slide 41 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 42 of 149

3. Modelling an LTE Network Frequency bands LTE Frame structure settings Transmitter parameters Cell 3. Modelling an LTE Network Frequency bands LTE Frame structure settings Transmitter parameters Cell parameters © Forsk 2009 Confidential – Do not share without prior permission Slide 43 of 149

Frequency Bands Frequency bands Atoll can model multi-band networks within the same document TDD Frequency Bands Frequency bands Atoll can model multi-band networks within the same document TDD (Time Division Duplexing) or FDD (Frequency Division Duplexing) One frequency band assigned to each cell © Forsk 2009 Confidential – Do not share without prior permission Slide 44 of 149

LTE Frame structure settings Transmitter folder global parameters Normal (default) or extended cyclic prefix LTE Frame structure settings Transmitter folder global parameters Normal (default) or extended cyclic prefix (No. of SD per slot) e. g. : at 15 k. Hz, 7 SD/slot (normal) or 6 SD/slot (extended) System-level constants (Hard-coded) • • Width of a resource block (180 k. Hz) Frame duration (10 ms) TDD option only : Switch from DL to UL every half frame (default) or every frame Number of SD for Physical Downlink Control Channel (0, 1, 2 or 3) carrying DL and UL Resource allocation information Average number of resource blocks for Physical Uplink Control Channel (top and bottom of frame transmitted every 2 slots) Other control channel overheads defined by 3 GPP (calculated based on 3 GPP specs) • © Forsk 2009 Reference signals, P-SCH, S-SCH, PBCH, etc. Confidential – Do not share without prior permission Slide 45 of 149

Transmitter Parameters Cells: (Tx-carrier) pairs Specifications of carriers in a transmitter Equipment specifications DL Transmitter Parameters Cells: (Tx-carrier) pairs Specifications of carriers in a transmitter Equipment specifications DL and UL total losses, noise figure MIMO (Multiple Input Multiple Output systems) reception and transmission settings © Forsk 2009 Confidential – Do not share without prior permission Slide 46 of 149

Cell Parameters Cell activity Cell order used for carrier selection Cell’s frequency band Channel Cell Parameters Cell activity Cell order used for carrier selection Cell’s frequency band Channel number in the frequency band (and allocation status) Physical Cell ID ( and allocation status) Resource allocation min reuse distance Reference signal quality threshold used as cell coverage limit Power and energy offsets from computed reference signal Scheduler used for bearer selection and resource allocation LTE equipment used for bearer selection/quality indicator studies/MIMO gains Frame configuration (TDD only) Maximum simultaneous users supported by the cell* UL and DL MIMO support (Tx/Rx Div, SU-MIMO/SM, AMS and/or MU-MIMO) Cell capacity gain in case of MU-MIMO UL/DL traffic loads* Threshold to switch from SM to Tx/Rx Div or for using MU-MIMO UL noise rise due to surrounding mobiles* Max UL and DL traffic loads to be respected during simulations Effect of external sources of interferences Neighbour list © Forsk 2009 * User-defined or simulation output Confidential – Do not share without prior permission Inputs of the neighbour allocation algorithm Slide 47 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 48 of 149

4. LTE Predictions Introduction Parameters used in predictions Prediction settings Fast link adaptation modelling 4. LTE Predictions Introduction Parameters used in predictions Prediction settings Fast link adaptation modelling Coverage prediction examples Point analysis studies © Forsk 2009 Confidential – Do not share without prior permission Slide 49 of 149

Introduction Coverage predictions General studies based on downlink reference signal levels • • Best Introduction Coverage predictions General studies based on downlink reference signal levels • • Best server plot based on downlink reference signal levels Multiple server coverage based on downlink reference signal levels Reference signal level plots Reference signal CNR plots LTE UL and DL specific studies • • • SCH/PBCH, PDSCH, and PUSCH signal level plots SCH/PBCH, PDSCH, and PUSCH CNR plots Quality studies (reference signal, SCH/PBCH, PDSCH, and PUSCH CINR and interference plots) Best bearer plots based on PDSCH and PUSCH CINR levels Throughput and cell capacity per pixel plots based on PDSCH and PUSCH CINR levels • Peak RLC, effective RLC, and application throughputs • Peak RLC, effective RLC, and application cell capacities • Peak RLC, effective RLC, and application aggregate cell throughputs Point predictions © Forsk 2009 Confidential – Do not share without prior permission Slide 50 of 149

Introduction Principles of the studies based on traffic Study calculated for • • © Introduction Principles of the studies based on traffic Study calculated for • • © Forsk 2009 Given load conditions • UL noise rise • DL traffic load A non-interfering user with • A service • A mobility • A terminal type with a directive antenna (oriented towards the serving cell) Confidential – Do not share without prior permission Slide 51 of 149

Load Conditions Load conditions are defined in the cells table Values taken into consideration Load Conditions Load conditions are defined in the cells table Values taken into consideration in predictions for each cell © Forsk 2009 Confidential – Do not share without prior permission Slide 52 of 149

Service Properties Parameters used in predictions Highest bearers in UL and DL Body loss Service Properties Parameters used in predictions Highest bearers in UL and DL Body loss Application throughput parameters © Forsk 2009 Confidential – Do not share without prior permission Slide 53 of 149

LTE Bearer Properties Support for multiple modulation and coding schemes (MCS) User-selectable modulations (QPSK, LTE Bearer Properties Support for multiple modulation and coding schemes (MCS) User-selectable modulations (QPSK, 16 QAM, and 64 QAM) User-definable coding rates (e. g. 1/2, 2/3, 3/4, etc. ) User-definable bearer efficiencies (useful bits per resource element) • © Forsk 2009 Used for channel throughput evaluation Confidential – Do not share without prior permission Slide 54 of 149

LTE Bearer Properties Link adaptation in LTE © Forsk 2009 Confidential – Do not LTE Bearer Properties Link adaptation in LTE © Forsk 2009 Confidential – Do not share without prior permission Slide 55 of 149

Mobility Properties Parameters used in predictions Mapping between mobilities and thresholds in bearer and Mobility Properties Parameters used in predictions Mapping between mobilities and thresholds in bearer and quality indicator determination (as radio conditions depend on user speed). © Forsk 2009 Confidential – Do not share without prior permission Slide 56 of 149

Terminal Properties Support of MIMO Parameters used in predictions © Forsk 2009 Reception equipment Terminal Properties Support of MIMO Parameters used in predictions © Forsk 2009 Reception equipment Antenna settings (incl. MIMO support) Maximum terminal power Gain and losses Noise figure Confidential – Do not share without prior permission Number of Antenna ports in UL and DL in case of MIMO support Slide 57 of 149

Prediction Settings Coverage prediction plots Do not require Monte-Carlo simulations or subscriber lists Reference Prediction Settings Coverage prediction plots Do not require Monte-Carlo simulations or subscriber lists Reference signal, SCH/PBCH, PDSCH, and PUSCH signal level plots • Best server plot • Coverage by signal level • Multiple server coverage Preamble signal quality based coverage predictions • • © Forsk 2009 Selection of a mobility, a service, a terminal (possibly directional antenna oriented towards the serving cell) Reference signal, SCH/PBCH, PDSCH, and PUSCH CNR plots Confidential – Do not share without prior permission Slide 58 of 149

Prediction Settings Coverage prediction plots Traffic channel CINR based coverage predictions • • Selection Prediction Settings Coverage prediction plots Traffic channel CINR based coverage predictions • • Selection of a mobility, a service, a terminal (possibly directional antenna oriented towards the serving cell) • Reference signal, SCH/PBCH, PDSCH, and PUSCH CINR and interference plots • Best bearer plots based on PDSCH and PUSCH CINR levels • © Forsk 2009 Based on user-defined cell loads or on Monte-Carlo simulation results Throughput and cell capacity per pixel plots based on PDSCH and PUSCH CINR levels • Peak RLC, effective RLC, and application throughputs • Peak RLC, effective RLC, and application cell capacities • Peak RLC, effective RLC, and application aggregate cell throughputs Confidential – Do not share without prior permission Slide 59 of 149

Fast Link Adaptation Modelling Atoll determines, on each pixel, the highest bearer that each Fast Link Adaptation Modelling Atoll determines, on each pixel, the highest bearer that each user can obtain No soft handover Connection to the best server in term of reference signal level (C) Bearer chosen according to the radio conditions (PDSCH and PUSCH CINR levels) Process : prediction done via look-up tables Peak RLC, effective RLC, and application throughput calculation Highest bearer determination limited by the service settings Reference signal quality evaluation (C) Quality indicator (BER, BLER) PDSCH and PUSCH CINR calculation Best server and service area determination (C/N) © Forsk 2009 Confidential – Do not share without prior permission Slide 60 of 149

Interference Estimation Atoll calculates PDSCH and PUSCH CINR according to: The victim traffic (PUSCH Interference Estimation Atoll calculates PDSCH and PUSCH CINR according to: The victim traffic (PUSCH or PDSCH) power The interfering signals impacted by: • • The interferer powers The path loss from the interferer to the victim Antenna gain Losses from interferer (incl. Shadowing effect and indoor losses) The interference reduction due to the co and adjacent channel overlap between the studied and the interfering base stations The interference reduction factor due to interfering base station’s traffic load © Forsk 2009 Confidential – Do not share without prior permission Slide 61 of 149

Bearer Selection When PDSCH and PUSCH CINR are evaluated, the bearer is selected according Bearer Selection When PDSCH and PUSCH CINR are evaluated, the bearer is selected according to: The LTE reception equipment defined at reception (cell for UL, terminal for DL) The CINR threshold to access each bearer Scheduler parameters of the serving cell • • Bearer selection criterion The uplink bandwidth allocation target The highest possible bearer according to the service settings © Forsk 2009 Confidential – Do not share without prior permission Slide 62 of 149

Bearer Selection Scheduler settings for bearer determination Bearer selection criterion: • Bearer index: selection Bearer Selection Scheduler settings for bearer determination Bearer selection criterion: • Bearer index: selection of the highest bearer index • Peak RLC throughput: selection of the highest peak RLC throughput • Effective RLC throughput: selection of the highest effective RLC throughput Uplink bandwidth allocation target: • Full bandwidth: use of all the frequency blocks • Maintain connection: number of frequency blocks reduced one by one to increase the PUSCH CINR so that the mobile is able to get at least the lowest bearer (as defined by the bearer selection criterion) • Best bearer: number of frequency blocks reduced to increase the PUSCH CINR so that the mobile is able to get the best bearer available (as defined by the bearer selection criterion) © Forsk 2009 Confidential – Do not share without prior permission Slide 63 of 149

Throughput Estimation When the bearer is selected, the channel throughput is calculated according to: Throughput Estimation When the bearer is selected, the channel throughput is calculated according to: The channel bandwidth and the sampling frequency The frame definition considering hard coded parameters and user-defined ones (global parameters tab or the Transmitter folder property box). The cyclic prefix ratio The bearer efficiency defined in the selected bearer © Forsk 2009 Confidential – Do not share without prior permission Slide 64 of 149

Quality Indicator Estimation When the bearer is selected, the quality indicator (BER or BLER) Quality Indicator Estimation When the bearer is selected, the quality indicator (BER or BLER) is obtained according to: The graphs defined in the quality graph tab of the receiver equipment The selected bearer The calculated PDSCH and PUSCH CINRs The terminal mobility (optionally) © Forsk 2009 Confidential – Do not share without prior permission Slide 65 of 149

Prediction Examples (General Studies) Number of servers (Based on reference signal power) Coverage by Prediction Examples (General Studies) Number of servers (Based on reference signal power) Coverage by signal level (Based on reference signal power) © Forsk 2009 Confidential – Do not share without prior permission Slide 66 of 149

Prediction Examples (Dedicated Studies) Coverage by PDSCH CINR (Directional receiver antenna) Coverage by PDSCH Prediction Examples (Dedicated Studies) Coverage by PDSCH CINR (Directional receiver antenna) Coverage by PDSCH CINR (Isotropic receiver antenna) © Forsk 2009 Confidential – Do not share without prior permission Slide 67 of 149

Prediction Examples (Dedicated Studies) Coverage by PUSCH CINR (Directional receiver antenna) Coverage by PUSCH Prediction Examples (Dedicated Studies) Coverage by PUSCH CINR (Directional receiver antenna) Coverage by PUSCH CINR (Isotropic receiver antenna) © Forsk 2009 Confidential – Do not share without prior permission Slide 68 of 149

Point Analysis Tool Radio reception level at a given point : Reception tab Select Point Analysis Tool Radio reception level at a given point : Reception tab Select the reception tab in the point analysis window In the tool bar, click Define receiver settings Display preamble signal levels Reference signal levels © Forsk 2009 Confidential – Do not share without prior permission Slide 69 of 149

Point Analysis Tool Radio reception diagnosis at a given point : Signal Analysis tab Point Analysis Tool Radio reception diagnosis at a given point : Signal Analysis tab Choice of UL&DL load conditions : if (cells table) is selected Analysis based on DL load and UL noise rise from cells table Definition of a userdefinable “probe" receiver, indoor or not Received reference signals (best server on the top) © Forsk 2009 Confidential – Do not share without prior permission SCH/PBCH, reference signals, PDSCH and PUSCH availability (or not) Analysis detail on reference signals, PDSCH and PUSCH Slide 70 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 71 of 149

5. MIMO Modelling Overview MIMO settings in Atoll MIMO Modelling in computations Predictions examples 5. MIMO Modelling Overview MIMO settings in Atoll MIMO Modelling in computations Predictions examples © Forsk 2009 Confidential – Do not share without prior permission Slide 72 of 149

MIMO Modelling Overview Base stations and user equipment support MIMO systems Gains graphs available MIMO Modelling Overview Base stations and user equipment support MIMO systems Gains graphs available in reception equipment Numbers of transmission and reception antenna ports at base station and terminal Antenna diversity modes in Atoll LTE Multiple Input Multiple Outputs (MIMO) systems • • Single-User MIMO (SU-MIMO) or Spatial Multiplexing (SM) (also called Matrix B MIMO in other standards) • More than one transmission antenna to send different data streams on each antenna • Improvement of throughput for a given CINR • Usually used in coverage areas with good CINR conditions • © Forsk 2009 Transmit/Receive Diversity (also called Space-Time Coding (STC) or Matrix A MIMO in other standards) • More than one transmission antenna to send the same data • Improvement of CINR Higher bearer Higher throughput • Usually used in coverage areas with bad CINR conditions Adaptive MIMO Switch (AMS) • Technique to switch from SM to Tx/Rx Diversity as CINR conditions get worse than a given threshold Confidential – Do not share without prior permission Slide 73 of 149

MIMO Modelling Overview Antenna diversity modes in Atoll LTE (Cont’d) Multiple Input Multiple Outputs MIMO Modelling Overview Antenna diversity modes in Atoll LTE (Cont’d) Multiple Input Multiple Outputs (MIMO) systems • © Forsk 2009 Multi-User MIMO or collaborative MIMO • Multiplexing of several users with good enough radio conditions • More than one cell reception antenna to receive transmissions from several users over the same frequency-time allocation (UL only) • Can be used with single-antenna user equipment • Improvement of UL capacity in terms of number of connected users Confidential – Do not share without prior permission Slide 74 of 149

MIMO Settings in Transmitters MIMO (Multiple Input Multiple Output systems) reception and transmission settings MIMO Settings in Transmitters MIMO (Multiple Input Multiple Output systems) reception and transmission settings © Forsk 2009 Confidential – Do not share without prior permission Slide 75 of 149

MIMO Settings in Cells Definition of the MIMO support type (STTD/MRC (Transmit or Receive MIMO Settings in Cells Definition of the MIMO support type (STTD/MRC (Transmit or Receive Diversity), SU-MIMO (SM), AMS or MU-MIMO – UL Only) Minimum reference signal C/N used as : - threshold to switch from SUMIMO to Tx/Rx Diversity - Minimum required for using MU-MIMO Uplink capacity gain due to MU-MIMO. The cell capacity is multiplied by this gain at pixels where MU-MIMO is used © Forsk 2009 Confidential – Do not share without prior permission Slide 76 of 149

MIMO Settings in Terminals Reception equipment defining SU-MIMO and diversity gains Support of MIMO MIMO Settings in Terminals Reception equipment defining SU-MIMO and diversity gains Support of MIMO Number of Antenna ports in UL and DL in case of MIMO support © Forsk 2009 Confidential – Do not share without prior permission Slide 77 of 149

Transmit and Receive Diversity Settings Diversity gain depending on the MIMO configuration Additional Diversity Transmit and Receive Diversity Settings Diversity gain depending on the MIMO configuration Additional Diversity gain per clutter class (DL and UL) Sum of the gains applied on PDSCH/PUSCH CINR © Forsk 2009 Confidential – Do not share without prior permission Slide 78 of 149

SU-MIMO Settings Maximum possible gain in channel capacity SU-MIMO gain factor per clutter class SU-MIMO Settings Maximum possible gain in channel capacity SU-MIMO gain factor per clutter class MIMO throughput = SISO throughput (1 + SU-MIMO gain factor (max MIMO gain – 1)) © Forsk 2009 Confidential – Do not share without prior permission Slide 79 of 149

MIMO Modelling in Computations Predictions and simulations On each pixel, a receiver is connected MIMO Modelling in Computations Predictions and simulations On each pixel, a receiver is connected to its best server (in term of reference signal C/N) MIMO is possible if : • • The support of any MIMO mode (Tx/Rx diversity, SM, AMS, SU-MIMO) is defined for to the serving cell • MIMO is supported by the user’s terminal • © Forsk 2009 MIMO settings are defined in the LTE equipment selected at the cell – for UL – (or terminal – for DL –) level The calculated reference signal C/N exceeds the reference signal C/N threshold Confidential – Do not share without prior permission Slide 80 of 149

Prediction Examples (MIMO Effect) Coverage prediction examples (MIMO system) Coverage by DL CINR (MIMO Prediction Examples (MIMO Effect) Coverage prediction examples (MIMO system) Coverage by DL CINR (MIMO with 2*2 antenna) Coverage by DL CINR (Without MIMO) CINR improved for low values (due to Tx/Rx diversity) © Forsk 2009 Confidential – Do not share without prior permission Slide 81 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 82 of 149

6. Neighbour Allocation Importing existing neighbour relationships Neighbour automatic allocation Neighbour graphical display Modifying 6. Neighbour Allocation Importing existing neighbour relationships Neighbour automatic allocation Neighbour graphical display Modifying neighbour relationships manually Exporting neighbour relationships © Forsk 2009 Confidential – Do not share without prior permission Slide 83 of 149

Importing Existing Neighbour Relationships Possibility to copy/paste or to import a list of neighbours Importing Existing Neighbour Relationships Possibility to copy/paste or to import a list of neighbours Intra-carrier and inter-carrier neighbours are mixed in the same table Prerequisites A text file with at least 2 columns • • © Forsk 2009 Source cells and neighbour cells Relationships must be defined between atoll format cell names Confidential – Do not share without prior permission Slide 84 of 149

Importing Existing Neighbour Relationships © Forsk 2009 Confidential – Do not share without prior Importing Existing Neighbour Relationships © Forsk 2009 Confidential – Do not share without prior permission Slide 85 of 149

Neighbour Automatic Allocation (1/4) Possibility to define neighbourhood constraints to be considered during the Neighbour Automatic Allocation (1/4) Possibility to define neighbourhood constraints to be considered during the automatic neighbour allocation List of neighbourhood relationships you may force or forbid Allocation parameters Maximum number of neighbours • Global value for all the transmitters or value specified for each transmitter Maximum inter-site distance Allocation strategy based on the overlapping of cell coverage © Forsk 2009 Confidential – Do not share without prior permission Slide 86 of 149

Neighbour Automatic Allocation (2/4) Coverage conditions Calculation options Overlapping criterion Start allocation Do not Neighbour Automatic Allocation (2/4) Coverage conditions Calculation options Overlapping criterion Start allocation Do not select the option if you want to keep existing neighbours © Forsk 2009 Confidential – Do not share without prior permission Slide 87 of 149

Neighbour Automatic Allocation (3/4) Overlapping criterion % min covered area is defined by the Neighbour Automatic Allocation (3/4) Overlapping criterion % min covered area is defined by the formula : (SA ∩ SB) / SA where : - SA is the coverage area of a restricted by ho start and ho end - SB is the best server area of cell B Best reference signal level cell B (candidate) Best reference signal level cell A (reference) Cell B Best server area Cell A Best server area Reference signal threshold (from reference signal quality threshold) © Forsk 2009 Handover end Handover start Confidential – Do not share without prior permission Slide 88 of 149

Neighbour Automatic Allocation (4/4) Allocation result Sorted list of neighbours with allocation reasons and Neighbour Automatic Allocation (4/4) Allocation result Sorted list of neighbours with allocation reasons and importance value (0 -1) Allocation results Sort and filtering tools Commit selected neighbours only © Forsk 2009 Confidential – Do not share without prior permission Slide 89 of 149

Neighbour Graphical Display of neighbourhood links on the map Calculate a “coverage by transmitter” Neighbour Graphical Display of neighbourhood links on the map Calculate a “coverage by transmitter” and display it on the map Select the icon in the toolbar and click a transmitter on the map Symmetric link: site 17_1(0) is neighbour of site 23_1(0) and vice-versa Outwards link: site 27_0(0) is neighbour of site 23_1(0) Inwards link: site 23_1(0) is neighbour of site 22_0(0) Neighbourhood relationships of site 23_1(0) © Forsk 2009 Confidential – Do not share without prior permission Slide 90 of 149

Neighbour Graphical Display Possibility to display neighbour characteristics on the map Calculate a “coverage Neighbour Graphical Display Possibility to display neighbour characteristics on the map Calculate a “coverage by transmitter” and display it on the map Display neighbour relationships of the desired transmitter Click the icon from the toolbar © Forsk 2009 Confidential – Do not share without prior permission Slide 91 of 149

Modifying Neighbour Relationships Manually Possibility to add/remove neighbour relationships on the map using the Modifying Neighbour Relationships Manually Possibility to add/remove neighbour relationships on the map using the ctrl and shift shortcuts For intra-carrier neighbourhood links only Possibility to add/remove neighbours in the cell property dialogue Neighbour list of site 5_2(0) List of transmitters within a 30 km radius from the selected one (sorted in a ascending inter-site distance order) © Forsk 2009 Confidential – Do not share without prior permission Slide 92 of 149

Exporting Neighbour Relationships Possibility to copy/paste or to export the list of neighbours © Exporting Neighbour Relationships Possibility to copy/paste or to export the list of neighbours © Forsk 2009 Confidential – Do not share without prior permission Slide 93 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 94 of 149

7. Automatic Resource Planning Automatic resource planning overview Automatic physical cell ID allocation process 7. Automatic Resource Planning Automatic resource planning overview Automatic physical cell ID allocation process Automatic frequency allocation process Frequency allocation examples © Forsk 2009 Confidential – Do not share without prior permission Slide 95 of 149

Automatic Resource Planning Overview Automatic Physical Cell ID Planning Based on neighbour and distance Automatic Resource Planning Overview Automatic Physical Cell ID Planning Based on neighbour and distance relations Allocation of S-SCH IDs and P-SCH IDs Automatic Resource Planning (Optional) Based on interference matrices, neighbour, distance relations Possibility to lock frequencies for cells Can work with more than one frequency band in the same document Can also allocate physical cell IDs taking interference matrices into account © Forsk 2009 Confidential – Do not share without prior permission Slide 96 of 149

Automatic Physical Cell ID Allocation Process Physical Cell ID definition : (physical cell ID Automatic Physical Cell ID Allocation Process Physical Cell ID definition : (physical cell ID of the cell) Physical cell IDs defined in the 3 GPP specifications. Integer value from 0 to 503 • • 504 unique physical-layer cell identities. Grouped in 168 unique cell ID groups (called S-SCH IDs in Atoll), each group containing 3 unique identities (called P-SCH IDs in Atoll) S-SCH ID belongs to [0, 167] and P-SCH ID is either 0, 1 or 2. Each cell’s reference signals transmit a pseudo-random sequence corresponding to the physical cell ID of the cell. Physical Cell ID allocation to cells Goals • • • © Forsk 2009 Avoid using the same pseudo-random sequence in nearby cells • Can cause problems in cell search and selection Avoid using the same P-SCH ID to nearby cells • Can cause a lot of interference Use preferably the same S-SCH ID to cells of the same site • Can help in measurements and handover procedures Confidential – Do not share without prior permission Slide 97 of 149

Automatic Physical Cell ID Allocation Process Automatic Physical Cell ID allocation in Atoll Based Automatic Physical Cell ID Allocation Process Automatic Physical Cell ID allocation in Atoll Based on an iterative cost-based algorithm Different physical Cell ID allocation plans are tried and a cost calculated for each The best physical Cell ID allocation plan is the one with the lowest cost The cost is calculated for cells with the following relations • • • Neighbours (optional) Distance between cells < min reuse distance (optional) Frequency plan Relations between cells can have different importance in the final cost • • © Forsk 2009 The importance of neighbour relation is calculated during the automatic neighbour allocation The importance of the relation based on the distance between cells (weighted by the antenna azimuths) Confidential – Do not share without prior permission Slide 98 of 149

Automatic Physical Cell ID Allocation Process Automatic physical Cell ID allocation prerequisites Frequency plan Automatic Physical Cell ID Allocation Process Automatic physical Cell ID allocation prerequisites Frequency plan • A channel manually assigned to each cell Neighbour plan • • © Forsk 2009 Manually or automatically obtained Importance values Confidential – Do not share without prior permission Slide 99 of 149

Automatic Physical Cell ID Allocation Process Automatic physical Cell ID allocation process Allocation cost Automatic Physical Cell ID Allocation Process Automatic physical Cell ID allocation process Allocation cost constraints S-SCH ID allocation strategy Allocated Physical Cell Ids, P-SCH IDs and S-SCH IDs Commit Physical Cell Ids to cells © Forsk 2009 Confidential – Do not share without prior permission Slide 100 of 149

Automatic Frequency Allocation Process Optimization of the frequency allocation in a network The optimum Automatic Frequency Allocation Process Optimization of the frequency allocation in a network The optimum frequency plan minimizes the interference in the network Compliance with given constraints Excluded channels Interferences Reuse distance Neighbour relations … The algorithm starts with the current frequency plan as the initial state Frequencies can be locked for cells The AFP can work with more than one frequency band in the same document Channels can be excluded © Forsk 2009 Confidential – Do not share without prior permission Slide 101 of 149

Automatic Frequency Allocation Process Based on an iterative cost-based algorithm Different frequency allocation plans Automatic Frequency Allocation Process Based on an iterative cost-based algorithm Different frequency allocation plans are tried and a cost calculated for each The best frequency allocation plan is the one with the lowest global cost The cost is calculated for cells thanks to Interference matrices • • Probabilities of interference in co- and adjacent channel cases A probability calculated for each case for each interfered-interfering cell pair Distance relation • • For distance between cells < min reuse distance Takes into account distance, orientation of cells Neighbours • © Forsk 2009 Takes into account importance of neighbour relation (adjacent, co-site) Confidential – Do not share without prior permission Slide 102 of 149

Automatic Frequency Allocation Process Automatic resource allocation process Possibility to allocate Physical Cell IDs Automatic Frequency Allocation Process Automatic resource allocation process Possibility to allocate Physical Cell IDs or frequencies Interference matrices calculation (to run before frequency allocation) Allocation constraints Allocated channels © Forsk 2009 Confidential – Do not share without prior permission Commit channels to cells Slide 103 of 149

Automatic Frequency Allocation Process Interference matrix calculation For each cell pair, interference probability for Automatic Frequency Allocation Process Interference matrix calculation For each cell pair, interference probability for co and adjacent channel cases Interference probability is the ratio between • • © Forsk 2009 Interfered surface area within the best server coverage area of the studied cell Best server coverage area of the studied cell Confidential – Do not share without prior permission Slide 104 of 149

Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Same channel all over Reference Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Same channel all over Reference Signal C/(I+N) Level (DL) (d. B) >=30 Reference Signal C/(I+N) Level (DL) (d. B) >=25 Reference Signal C/(I+N) Level (DL) (d. B) >=20 Reference Signal C/(I+N) Level (DL) (d. B) >=15 Reference Signal C/(I+N) Level (DL) (d. B) >=10 Reference Signal C/(I+N) Level (DL) (d. B) >=5 Reference Signal C/(I+N) Level (DL) (d. B) >=0 Reference Signal C/(I+N) Level (DL) (d. B) >=-5 Reference Signal C/(I+N) Level (DL) (d. B) >=-10 Reference Signal C/(I+N) Level (DL) (d. B) >=-15 Reference Signal C/(I+N) Level (DL) (d. B) >=-20 © Forsk 2009 Confidential – Do not share without prior permission 0. 0048 0. 084 1. 1228 5. 8348 17. 4132 40. 244 77. 7116 134. 9424 160. 302 161. 0816 Slide 105 of 149

Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Manual allocation with 3 channels Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Manual allocation with 3 channels Reference Signal C/(I+N) Level (DL) (d. B) >=30 Reference Signal C/(I+N) Level (DL) (d. B) >=25 Reference Signal C/(I+N) Level (DL) (d. B) >=20 Reference Signal C/(I+N) Level (DL) (d. B) >=15 Reference Signal C/(I+N) Level (DL) (d. B) >=10 Reference Signal C/(I+N) Level (DL) (d. B) >=5 Reference Signal C/(I+N) Level (DL) (d. B) >=0 Reference Signal C/(I+N) Level (DL) (d. B) >=-5 Reference Signal C/(I+N) Level (DL) (d. B) >=-10 Reference Signal C/(I+N) Level (DL) (d. B) >=-15 Reference Signal C/(I+N) Level (DL) (d. B) >=-20 © Forsk 2009 Confidential – Do not share without prior permission 1. 308 5. 9396 17. 3372 37. 472 65. 39 99. 5252 132. 9688 157. 2608 161. 0736 161. 0816 Slide 106 of 149

Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Automatic allocation with 3 channels Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Automatic allocation with 3 channels Reference Signal C/(I+N) Level (DL) (d. B) >=30 Reference Signal C/(I+N) Level (DL) (d. B) >=25 Reference Signal C/(I+N) Level (DL) (d. B) >=20 Reference Signal C/(I+N) Level (DL) (d. B) >=15 Reference Signal C/(I+N) Level (DL) (d. B) >=10 Reference Signal C/(I+N) Level (DL) (d. B) >=5 Reference Signal C/(I+N) Level (DL) (d. B) >=0 Reference Signal C/(I+N) Level (DL) (d. B) >=-5 Reference Signal C/(I+N) Level (DL) (d. B) >=-10 Reference Signal C/(I+N) Level (DL) (d. B) >=-15 Reference Signal C/(I+N) Level (DL) (d. B) >=-20 © Forsk 2009 Confidential – Do not share without prior permission 0. 4784 2. 7224 9. 452 24. 0344 48. 532 81. 5268 119. 1992 155. 772 161. 074 161. 0816 Slide 107 of 149

Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Manual allocation with 6 channels Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Manual allocation with 6 channels Reference Signal C/(I+N) Level (DL) (d. B) >=30 Reference Signal C/(I+N) Level (DL) (d. B) >=25 Reference Signal C/(I+N) Level (DL) (d. B) >=20 Reference Signal C/(I+N) Level (DL) (d. B) >=15 Reference Signal C/(I+N) Level (DL) (d. B) >=10 Reference Signal C/(I+N) Level (DL) (d. B) >=5 Reference Signal C/(I+N) Level (DL) (d. B) >=0 Reference Signal C/(I+N) Level (DL) (d. B) >=-5 Reference Signal C/(I+N) Level (DL) (d. B) >=-10 Reference Signal C/(I+N) Level (DL) (d. B) >=-15 Reference Signal C/(I+N) Level (DL) (d. B) >=-20 © Forsk 2009 Confidential – Do not share without prior permission 4. 6172 13. 6912 30. 2844 55. 658 87. 18 120. 9552 147. 5192 160. 1648 161. 0808 161. 0816 Slide 108 of 149

Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Automatic allocation with 6 channels Frequency Allocation Examples Automatic frequency allocation in Atoll (example) Automatic allocation with 6 channels Reference Signal C/(I+N) Level (DL) (d. B) >=30 Reference Signal C/(I+N) Level (DL) (d. B) >=25 Reference Signal C/(I+N) Level (DL) (d. B) >=20 Reference Signal C/(I+N) Level (DL) (d. B) >=15 Reference Signal C/(I+N) Level (DL) (d. B) >=10 Reference Signal C/(I+N) Level (DL) (d. B) >=5 Reference Signal C/(I+N) Level (DL) (d. B) >=0 Reference Signal C/(I+N) Level (DL) (d. B) >=-5 Reference Signal C/(I+N) Level (DL) (d. B) >=-10 Reference Signal C/(I+N) Level (DL) (d. B) >=-15 Reference Signal C/(I+N) Level (DL) (d. B) >=-20 © Forsk 2009 Confidential – Do not share without prior permission 3. 4068 10. 7292 24. 9896 48. 002 80. 042 114. 3036 142. 5768 159. 694 161. 0812 161. 0816 Slide 109 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 110 of 149

8. Frequency Plan Analysis Channel and Physical Cell ID search tools Physical Cell ID 8. Frequency Plan Analysis Channel and Physical Cell ID search tools Physical Cell ID allocation audit Physical Cell ID histograms © Forsk 2009 Confidential – Do not share without prior permission Slide 111 of 149

Search Tool Overview Tool to visualise channel and P-SCH ID reuse on the map Search Tool Overview Tool to visualise channel and P-SCH ID reuse on the map Possibility to find cells which are assigned a given : • • Frequency band + channel Physical Cell ID P-SCH ID S-SCH ID Way to use this tool Create and calculate a coverage by transmitter with a colour display by transmitter Open the search tool available in the view menu © Forsk 2009 Confidential – Do not share without prior permission Slide 112 of 149

Channel Search Tool Channel reuse on the map Frequency band Channel number Colours given Channel Search Tool Channel reuse on the map Frequency band Channel number Colours given to transmitters • Red : co-channel transmitters • Yellow : multi-adjacent channel (-1 and +1) transmitters • Green : adjacent channel (-1) transmitters • Blue : adjacent channel (+1) transmitters • Grey : other transmitters © Forsk 2009 Confidential – Do not share without prior permission Slide 113 of 149

Physical Cell ID Search Tool Physical Cell ID, P-SCH ID and S-SCH ID reuse Physical Cell ID Search Tool Physical Cell ID, P-SCH ID and S-SCH ID reuse on the map Resource type Resource value Colours given to transmitters • Red or grey: if the transmitters carries or not the specified resource value (Physical Cell ID, P-SCH ID or S-SCH ID) © Forsk 2009 Confidential – Do not share without prior permission Slide 114 of 149

Physical Cell ID Allocation Audit Verification of the allocation inconsistencies Respect of the reuse Physical Cell ID Allocation Audit Verification of the allocation inconsistencies Respect of the reuse distance Respect of neighbourhood constraints If the Physical Cell ID allocation strategy is respected Inconsistencies are displayed in the default text editor © Forsk 2009 Confidential – Do not share without prior permission Slide 115 of 149

Physical Cell ID Histograms View of the Physical Cell ID distribution Dynamic pointer © Physical Cell ID Histograms View of the Physical Cell ID distribution Dynamic pointer © Forsk 2009 Confidential – Do not share without prior permission Slide 116 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 117 of 149

9. Monte-Carlo Based Simulations Simulation process Simulation creation Scheduling in simulations Simulation results Analysis 9. Monte-Carlo Based Simulations Simulation process Simulation creation Scheduling in simulations Simulation results Analysis of simulations © Forsk 2009 Confidential – Do not share without prior permission Slide 118 of 149

Simulation Process What’s a simulation in Atoll? Distribution of users at a given moment Simulation Process What’s a simulation in Atoll? Distribution of users at a given moment (= snapshot) Based on subscriber lists Suitable for a fixed wireless access application Based on traffic maps Similar to UMTS/CDMA/Wi. MAX simulation process Can be used for a fixed application (statistical user-list modelling) Can be used for a mobile application (Monte-Carlo distribution of mobile users) © Forsk 2009 Confidential – Do not share without prior permission Slide 119 of 149

Simulation Process Requirement: subscriber list and/or traffic map(s) The user distribution is generated using Simulation Process Requirement: subscriber list and/or traffic map(s) The user distribution is generated using a Monte-Carlo algorithm Based on traffic database and subscriber list/traffic map(s) Weighted by a Poisson distribution Each user is assigned A service, a mobility type, a terminal and an activity status by random trial • According to a probability law using traffic database A geographic position in the traffic zone by random trial • © Forsk 2009 According to the clutter weighting and indoor ratio (user location is the same as subscriber location if the simulation is based on a subscriber list) Confidential – Do not share without prior permission Slide 120 of 149

Simulation Creation Optional growing factor on the selected traffic map(s) Number of simulations to Simulation Creation Optional growing factor on the selected traffic map(s) Number of simulations to run for the current session Selection of traffic map(s) as traffic input Load constraints to respect during simulations (global value or value per cell) © Forsk 2009 Confidential – Do not share without prior permission Selection of subscriber list(s) as traffic input (dedicated to fixed wireless access application) Slide 121 of 149

Scheduling in Simulations Scheduling and radio resource management Filtering of mobiles up to cell Scheduling in Simulations Scheduling and radio resource management Filtering of mobiles up to cell capacity limits (max UL and DL loads) Different schedulers available: • • • Max C/I Proportional Demand Proportional Fair First pass • Resource allocation for the minimum throughput demands depending on the service priorities of the users (priority field in services) Second pass • © Forsk 2009 Distribution of the remaining resources between users according to the schedulers defined in each cell in order to reach the max throughput demand Confidential – Do not share without prior permission Slide 122 of 149

Simulation Results (1) Analysis provided over the focus zone Main simulation results include Per Simulation Results (1) Analysis provided over the focus zone Main simulation results include Per cell • • • UL and DL traffic loads UL noise rise UL and DL aggregate cell throughputs Traffic input and connection statistics … Per mobile • • © Forsk 2009 Serving transmitter and cell Azimuth and tilt (towards the serving cell) Reference signal, SCH/PBCH, PDSCH, and PUSCH signal levels Reference signal, SCH/PBCH, PDSCH, and PUSCH CINR and interference levels Best bearers based on PDSCH and PUSCH CINR levels Cell throughputs, cell capacities, and user throughputs PDSCH and PUSCH CINR levels Connection status and rejection cause … Confidential – Do not share without prior permission Slide 123 of 149

Simulation Results (2) Analysis provided over the focus zone 5 tabs : statistics, sites, Simulation Results (2) Analysis provided over the focus zone 5 tabs : statistics, sites, cells, mobiles, initial conditions © Forsk 2009 Confidential – Do not share without prior permission Slide 124 of 149

Simulation Results (3) Writes the UL/DL traffic loads and the UL noise rise into Simulation Results (3) Writes the UL/DL traffic loads and the UL noise rise into the cells table © Forsk 2009 Confidential – Do not share without prior permission Slide 125 of 149

Simulation Results (4) Display the users (terminals) on the map depending on the connection Simulation Results (4) Display the users (terminals) on the map depending on the connection status © Forsk 2009 Confidential – Do not share without prior permission Slide 126 of 149

Analysis of Simulations Calculation of LTE prediction studies based on simulations Analysis of a Analysis of Simulations Calculation of LTE prediction studies based on simulations Analysis of a single simulation Prediction based on the results of the simulation (DL load, UL noise rise, etc) Average analysis of all the simulations in a group Prediction based on the average of simulations in the group (average DL load, and average UL noise rise) © Forsk 2009 Confidential – Do not share without prior permission Slide 127 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 128 of 149

10. Using Drive Tests Import of test mobile data path Drive test management Drive 10. Using Drive Tests Import of test mobile data path Drive test management Drive test graphic analysis © Forsk 2009 Confidential – Do not share without prior permission Slide 129 of 149

Import of Test Mobile Data Paths Overview Measurement path related to a serving cell Import of Test Mobile Data Paths Overview Measurement path related to a serving cell and its neighbours Check and improve the network quality Import Supported files • • • Any ASCII text file (with tab, semi-colon or blank character as separator) TEMS FICS-planet export (*. Pln) TEMS text export (*. Fmt) Procedure • • • © Forsk 2009 Standard import as in excel Mandatory information • Position of measurement points • Physical Cell ID You can import any additional information related to measurement points Definition and storage of import configurations Multiple import Confidential – Do not share without prior permission Slide 130 of 149

Drive Tests Managements Table List of all the measurement points with their attributes and Drive Tests Managements Table List of all the measurement points with their attributes and additional information Standard content management and tools (filters, copy-paste, etc. . . ) © Forsk 2009 Confidential – Do not share without prior permission Slide 131 of 149

Drive Tests Management of measurement path points Option of extracting a field related to Drive Tests Management of measurement path points Option of extracting a field related to a specific transmitter along a path Creation of any prediction on the transmitters measured along the path Option of creating as many CW measurement paths as the number of involved transmitters along the path. These data can be used to calibrate any propagation model © Forsk 2009 Confidential – Do not share without prior permission Slide 132 of 149

Drive Tests Management of measurement path points Filter per type(s) of clutter Advanced filter Drive Tests Management of measurement path points Filter per type(s) of clutter Advanced filter on additional survey data © Forsk 2009 Confidential – Do not share without prior permission Permanent deletion of outof-filter points Slide 133 of 149

Drive Tests Management of measurement path points List of defined studies in the measurement Drive Tests Management of measurement path points List of defined studies in the measurement table Option of preparing additional prediction studies along the path using the existing transmitter parameters (antennas, propagation models, etc…) © Forsk 2009 Confidential – Do not share without prior permission Slide 134 of 149

Drive Tests Management of measurement path points Using the Atoll display dialog, you can Drive Tests Management of measurement path points Using the Atoll display dialog, you can display the points according to any data contained in the measurement table © Forsk 2009 Confidential – Do not share without prior permission Slide 135 of 149

Drive Tests Graphic Analysis Test mobile data analysis window Display on the map Transmitters Drive Tests Graphic Analysis Test mobile data analysis window Display on the map Transmitters measured and indexed for the current point. © Forsk 2009 Confidential – Do not share without prior permission Slide 136 of 149

Drive Tests Graphic Analysis Test mobile data analysis window Synchronisation table – map – Drive Tests Graphic Analysis Test mobile data analysis window Synchronisation table – map – measurement window Option of displaying variation of any selected numeric field along the selected path © Forsk 2009 Confidential – Do not share without prior permission Slide 137 of 149

Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network Training Program 1. LTE Concepts 2. LTE Planning Overview 3. Modelling an LTE Network 4. LTE Predictions 5. MIMO Modelling 6. Neighbour Allocation 7. Automatic Resource Planning 8. Frequency Plan Analysis 9. Monte-Carlo Based Simulations 10. Using Drive Tests 11. Terminology and Concepts © Forsk 2009 Confidential – Do not share without prior permission Slide 138 of 149

Terminologies and Concepts in Atoll Resources In Atoll, the term Terminologies and Concepts in Atoll Resources In Atoll, the term "resource" is used to refer to the average number of resource units, expressed in % (as traffic loads, when the average is performed over a considerably long duration) of the total number of resource units in a superframe of 1 sec. Frame An LTE frame is 10 ms long. The duration of a frame is a system-level constant. Each frame comprises 10 1 ms-long subframes, with each subframe containing 2 0. 5 ms-long slots. Each slot can have 7 or 6 symbol durations for normal or extended cyclic prefix, respectively, and for a 15 k. Hz subcarrier width. A slot can have 3 symbol durations for extended cyclic prefix used with a 7. 5 k. Hz subcarrier width. LTE includes specific frame structures for FDD and TDD systems. For TDD systems, two switching point periodicities can be used; half-frame or full frame. Half-frame periodicity provides the same half-frame structure as a TD-SCDMA subframe. The PBCH and the two SCH are carried by subframes 0 and 5, which means that these 2 subframes are always used in downlink. A subframe is synonymous with TTI (transmission time interval), i. e. , the minimum unit of resource allocation in the time domain. © Forsk 2009 Confidential – Do not share without prior permission Slide 139 of 149

Terminologies and Concepts in Atoll LTE frame structures (DL: blue, UL: orange, DL or Terminologies and Concepts in Atoll LTE frame structures (DL: blue, UL: orange, DL or UL: green) © Forsk 2009 Confidential – Do not share without prior permission Slide 140 of 149

Terminologies and Concepts in Atoll Resource Element, Symbol, or Modulation Symbol In Atoll a Terminologies and Concepts in Atoll Resource Element, Symbol, or Modulation Symbol In Atoll a symbol refers to one resource element or one modulation symbol, which is 1 symbol duration long and 1 subcarrier width wide. Symbol Duration In Atoll a symbol duration refers to one OFDM symbol, which is the duration of one modulation symbol over all the subcarriers/frequency blocks being used. Subcarrier An OFDM channel comprises many narrowband carriers called subcarriers. OFDM subcarriers are orthogonal frequency-domain waveforms generated using Fast Fourier Transforms. Frequency Block It is the minimum unit of resource allocation in the frequency domain, i. e. , the width of a resource block, 180 k. Hz. It is a system-level constant. A frequency block can either contain 12 subcarriers of 15 k. Hz each or 24 subcarriers of 7. 5 k. Hz each. © Forsk 2009 Confidential – Do not share without prior permission Slide 141 of 149

Terminologies and Concepts in Atoll Resource Block It is the minimum unit of resource Terminologies and Concepts in Atoll Resource Block It is the minimum unit of resource allocation, i. e. , 1 frequency block by 1 slot. Schedulers are able perform resource allocation every subframe (TTI, transmission time interval), however, the granularity of resource allocation 1 slot in time, i. e. , the duration of a resource block, and 1 frequency block in frequency. LTE resource blocks © Forsk 2009 Confidential – Do not share without prior permission Slide 142 of 149

Terminologies and Concepts in Atoll LTE Logical Channels: LTE logical channels include: Broadcast Control Terminologies and Concepts in Atoll LTE Logical Channels: LTE logical channels include: Broadcast Control Channel (BCCH) (DL): Carries broadcast control information. Paging Control Channel (PCCH) (DL): Carries paging control information. Common Control Channel (CCCH) (DL and UL): Carries common control information. Dedicated Control Channel (DCCH) (DL and UL): Carries control information dedicated to users. Dedicated Traffic Channel (DTCH) (DL and UL): Carries user traffic data. Multicast Control Channel (MCCH) (DL): Carries multicast control information. Multicast Traffic Channel (MTCH) (DL): Carries multicast traffic data. LTE Transport Channels: LTE transport channels include: Broadcast Channel (BCH) (DL): Carries broadcast information. Paging Channel (PCH) (DL): Carries paging information. Downlink Shared Channel (DL-SCH) (DL): Carries common and dedicated control information and user traffic data. It can also be used to carry broadcast and multicast control information and traffic in addition to the BCH and MCH. Uplink Shared Channel (UL-SCH) (UL): Carries common and dedicated control information and user traffic data. Multicast Channel (MCH) (DL): Carries multicast information. Random Access Channel (RACH) (UL): Carries random access requests from users. © Forsk 2009 Confidential – Do not share without prior permission Slide 143 of 149

Terminologies and Concepts in Atoll LTE Physical Layer Channels: LTE physical layer channels include: Terminologies and Concepts in Atoll LTE Physical Layer Channels: LTE physical layer channels include: Physical Broadcast Channel (PBCH) (DL): Carries broadcast information. Physical Downlink Shared Channel (PDSCH) (DL): Carries paging information, common and dedicated control information, and user traffic data. It can also be used to carry broadcast and multicast control information and traffic in addition to the PBCH and PMCH. Parts of this channel carry the primary and secondary synchronisation channels (P-SCH and S-SCH), the downlink reference signals, the physical downlink control channel (PDCCH), the physical HARQ indicator channel (PHICH), and the physical control format indicator channel (PCFICH). Physical Uplink Shared Channel (PUSCH) (UL): Carries common and dedicated control information and user traffic data. Physical Uplink Control Channel (PUCCH) (UL): Carries control information. Physical Multicast Channel (PMCH) (DL): Carries multicast information. Physical Random Access Channel (PRACH) (UL): Carries random access requests from users. © Forsk 2009 Confidential – Do not share without prior permission Slide 144 of 149

Terminologies and Concepts in Atoll LTE logical, transport, and physical layer channels (DL: blue, Terminologies and Concepts in Atoll LTE logical, transport, and physical layer channels (DL: blue, UL: orange, DL or UL: green) © Forsk 2009 Confidential – Do not share without prior permission Slide 145 of 149

Terminologies and Concepts in Atoll User A general term that can also designate a Terminologies and Concepts in Atoll User A general term that can also designate a subscriber, mobile, and receiver. Subscriber Users with fixed geographical coordinates. Mobile Users generated and distributed during simulations. These users have, among other parameters, defined services, terminal types, and mobility types assigned for the duration of the simulations. Receiver A probe mobile, with the minimum required parameters needed for the calculation of path loss, used for propagation loss and raster coverage predictions. Bearer A Modulation and Coding Scheme (MCS) used to carry data over the channel. © Forsk 2009 Confidential – Do not share without prior permission Slide 146 of 149

Terminologies and Concepts in Atoll Peak RLC Throughput The maximum RLC layer throughput (user Terminologies and Concepts in Atoll Peak RLC Throughput The maximum RLC layer throughput (user or channel) that can be achieved at a given location using the highest LTE bearer available. This throughput is the raw data rate without considering the effects of retransmission due to errors and higher layer coding and encryption. Effective RLC Throughput The net RLC layer throughput (user or channel) that can be achieved at a given location using the highest LTE bearer available computed taking into account the reduction of throughput due to retransmission due to errors. Application Throughput The application layer throughput (user or channel) that can be achieved at a given location using the highest LTE bearer available computed taking into account the reduction of throughput due to PDU/SDU header information, padding, encryption, coding, and other types of overhead. Channel Throughputs Peak RLC, effective RLC or application throughputs achieved at a given location using the highest LTE bearer available with the entire cell resources (downlink or uplink). © Forsk 2009 Confidential – Do not share without prior permission Slide 147 of 149

Terminologies and Concepts in Atoll User Throughputs Peak RLC, effective RLC or application throughputs Terminologies and Concepts in Atoll User Throughputs Peak RLC, effective RLC or application throughputs achieved at a given location using the highest LTE bearer available with the amount of resources allocated to a user by the scheduler. Traffic Loads The uplink and downlink traffic loads are the percentages of the uplink and the downlink frames in use (allocated) to the traffic (mobiles) in the uplink and in the downlink, respectively. Uplink Noise Rise Uplink noise rise is a measure of uplink interference with respect to the uplink noise. This parameter is one of the two methods in which uplink interference can be expressed with respect to the noise. The other parameter often used instead of the uplink noise rise is the uplink load factor. Usually, the uplink load factor is kept as a linear value (in %) while the uplink noise rise is expressed in d. B. The two parameters express exactly the same information, and can be inter-converted. © Forsk 2009 Confidential – Do not share without prior permission Slide 148 of 149

THANK YOU! © Forsk 2009 Confidential – Do not share without prior permission Slide THANK YOU! © Forsk 2009 Confidential – Do not share without prior permission Slide 149 of 149