Understanding LTE with MATLAB : from mathematical modeling to simulation prototyping /

"An introduction to the technical details related to physical layer modeling of the LTE standard with MATLAB"--

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zarrinkoub, Houman (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, United Kingdom : John Wiley & Sons, [2014]
Temas:
MATLAB.
MATLAB
Long-Term Evolution (Telecommunications) > Computer simulation.
Technologie d'évolution à long terme (Norme) > Simulation par ordinateur.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Preface xiii
  • List of Abbreviations xvii
  • 1 Introduction 1
  • 1.1 Quick Overview of Wireless Standards 1
  • 1.2 Historical Profile of Data Rates 4
  • 1.3 IMT-Advanced Requirements 4
  • 1.4 3GPP and LTE Standardization 5
  • 1.5 LTE Requirements 5
  • 1.6 Theoretical Strategies 6
  • 1.7 LTE-Enabling Technologies 7
  • 1.8 LTE Physical Layer (PHY) Modeling 9
  • 1.9 LTE (Releases 8 and 9) 11
  • 1.10 LTE-Advanced (Release 10) 11
  • 1.11 MATLAB(R) and Wireless System Design 11
  • 1.12 Organization of This Book 11
  • References 12
  • 2 Overview of the LTE Physical Layer 13
  • 2.1 Air Interface 13
  • 2.2 Frequency Bands 14
  • 2.3 Unicast and Multicast Services 14
  • 2.4 Allocation of Bandwidth 16
  • 2.5 Time Framing 17
  • 2.6 Time / Frequency Representation 17
  • 2.7 OFDM Multicarrier Transmission 20
  • 2.8 Single-Carrier Frequency Division Multiplexing 23
  • 2.9 Resource Grid Content 24
  • 2.10 Physical Channels 25
  • 2.11 Physical Signals 31
  • 2.12 Downlink Frame Structures 34
  • 2.13 Uplink Frame Structures 35
  • 2.14 MIMO 35
  • 2.15 MIMO Modes 40
  • 2.16 PHY Processing 41
  • 2.17 Downlink Processing 41
  • 2.18 Uplink Processing 43
  • 2.19 Chapter Summary 45
  • References 46
  • 3 MATLAB(R) for Communications System Design 47
  • 3.1 System Development Workflow 47
  • 3.2 Challenges and Capabilities 48
  • 3.3 Focus 49
  • 3.4 Approach 49
  • 3.5 PHY Models in MATLAB 49
  • 3.6 MATLAB 49
  • 3.7 MATLAB Toolboxes 50
  • 3.8 Simulink 51
  • 3.9 Modeling and Simulation 52
  • 3.10 Prototyping and Implementation 53
  • 3.11 Introduction to System Objects 54
  • 3.12 MATLAB Channel Coding Examples 60
  • 3.13 Chapter Summary 68
  • References 69
  • 4 Modulation and Coding 71
  • 4.1 Modulation Schemes of LTE 72
  • 4.2 Bit-Level Scrambling 79
  • 4.3 Channel Coding 85
  • 4.4 Turbo Coding 85
  • 4.5 Early-Termination Mechanism 93
  • 4.6 Rate Matching 99
  • 4.7 Codeblock Segmentation 105
  • 4.8 LTE Transport-Channel Processing 107
  • 4.9 Chapter Summary 112
  • References 113
  • 5 OFDM 115
  • 5.1 Channel Modeling 115.
  • Examples 117
  • 5.2 Scope 121
  • 5.3 Workflow 121
  • 5.4 OFDM and Multipath Fading 122
  • 5.5 OFDM and Channel-Response Estimation 123
  • 5.6 Frequency-Domain Equalization 124
  • 5.7 LTE Resource Grid 124
  • 5.8 Configuring the Resource Grid 125
  • 5.9 Generating Reference Signals 130
  • 5.10 Resource Element Mapping 132
  • 5.11 OFDM Signal Generation 136
  • 5.12 Channel Modeling 137
  • 5.13 OFDM Receiver 140
  • 5.14 Resource Element Demapping 141
  • 5.15 Channel Estimation 143
  • 5.16 Equalizer Gain Computation 145
  • 5.17 Visualizing the Channel 146
  • 5.18 Downlink Transmission Mode 1 147
  • 5.19 Chapter Summary 164
  • References 165
  • 6 MIMO 167
  • 6.1 Definition of MIMO 167
  • 6.2 Motivation for MIMO 168
  • 6.3 Types of MIMO 168
  • 6.4 Scope of MIMO Coverage 170
  • 6.5 MIMO Channels 170
  • Implementation 171
  • 6.6 Common MIMO Features 178
  • 6.7 Specific MIMO Features 197
  • 6.8 Chapter Summary 260
  • References 262
  • 7 Link Adaptation 263
  • 7.1 System Model 264
  • 7.2 Link Adaptation in LTE 265
  • 7.3 MATLAB(R) Examples 266
  • 7.4 Link Adaptations between Subframes 275
  • 7.5 Adaptive Modulation 277
  • 7.6 Adaptive Modulation and Coding Rate 283
  • 7.7 Adaptive Precoding 287
  • 7.8 Adaptive MIMO 291
  • 7.9 Downlink Control Information 294
  • 7.10 Chapter Summary 302
  • References 303
  • 8 System-Level Specification 305
  • 8.1 System Model 306
  • 8.2 System Model in MATLAB 315
  • 8.3 Quantitative Assessments 316
  • 8.4 Throughput Analysis 325
  • 8.5 System Model in Simulink 326
  • 8.6 Qualitative Assessment 349
  • 8.7 Chapter Summary 351
  • References 352
  • 9 Simulation 353
  • 9.1 Speeding Up Simulations in MATLAB 353
  • 9.2 Workflow 354
  • 9.3 Case Study: LTE PDCCH Processing 355
  • 9.4 Baseline Algorithm 356
  • 9.5 MATLAB Code Profiling 358
  • 9.6 MATLAB Code Optimizations 360
  • 9.7 Using Acceleration Features 383
  • 9.8 Using a Simulink Model 387
  • 9.9 GPU Processing 399
  • 9.10 Case Study: Turbo Coders on GPU 406
  • 9.11 Chapter Summary 419
  • 10 Prototyping as C/C++ Code 421.
  • 10.1 Use Cases 422
  • 10.2 Motivations 422
  • 10.3 Requirements 422
  • 10.4 MATLAB Code Considerations 423
  • 10.5 How to Generate Code 423
  • 10.6 Structure of the Generated C Code 429
  • 10.7 Supported MATLAB Subset 432
  • 10.8 Complex Numbers and Native C Types 436
  • 10.9 Support for System Toolboxes 438
  • 10.10 Support for Fixed-Point Data 444
  • 10.11 Support for Variable-Sized Data 447
  • 10.12 Integration with Existing C/C++ Code 458
  • 10.13 Chapter Summary 471
  • References 471
  • 11 Summary 473
  • 11.1 Modeling 473
  • 11.2 Simulation 476
  • 11.3 Directions for Future Work 477
  • 11.4 Concluding Remarks 480
  • Index 483.

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