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[资料] wily 2014 年新书 - Understanding LTE with MATLAB

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发表于 2014-3-24 20:21:47 | 显示全部楼层 |阅读模式

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wily 2014 年新书 Understanding LTE with MATLAB

Contents
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
1.7.1 OFDM 7
1.7.2 SC-FDM 8
1.7.3 MIMO 8
1.7.4 Turbo Channel Coding 8
1.7.5 Link Adaptation 9
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?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朏requency Representation 17
2.7 OFDM Multicarrier Transmission 20
2.7.1 Cyclic Prefix 21
2.7.2 Subcarrier Spacing 22
vi Contents
2.7.3 Resource Block Size 22
2.7.4 Frequency-Domain Scheduling 22
2.7.5 Typical Receiver Operations 23
2.8 Single-Carrier Frequency Division Multiplexing 23
2.9 Resource Grid Content 24
2.10 Physical Channels 25
2.10.1 Downlink Physical Channels 26
2.10.2 Function of Downlink Channels 27
2.10.3 Uplink Physical Channels 30
2.10.4 Function of Uplink Channels 30
2.11 Physical Signals 31
2.11.1 Reference Signals 31
2.11.2 Synchronization Signals 33
2.12 Downlink Frame Structures 34
2.13 Uplink Frame Structures 35
2.14 MIMO 35
2.14.1 Receive Diversity 36
2.14.2 Transmit Diversity 37
2.14.3 Spatial Multiplexing 38
2.14.4 Beam Forming 39
2.14.5 Cyclic Delay Diversity 40
2.15 MIMO Modes 40
2.16 PHY Processing 41
2.17 Downlink Processing 41
2.18 Uplink Processing 43
2.18.1 SC-FDM 44
2.18.2 MU-MIMO 44
2.19 Chapter Summary 45
References 46
3 MATLAB?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
3.9.1 dsp System Toolbox 52
3.9.2 Communications System Toolbox 52
3.9.3 Parallel Computing Toolbox 52
3.9.4 Fixed-Point Designer 53
Contents vii
3.10 Prototyping and Implementation 53
3.10.1 MATLAB Coder 53
3.10.2 Hardware Implementation 54
3.11 Introduction to System Objects 54
3.11.1 System Objects of the Communications System Toolbox 54
3.11.2 Test Benches with System Objects 57
3.11.3 Functions with System Objects 58
3.11.4 Bit Error Rate Simulation 60
3.12 MATLAB Channel Coding Examples 60
3.12.1 Error Correction and Detection 61
3.12.2 Convolutional Coding 62
3.12.3 Hard-Decision Viterbi Decoding 63
3.12.4 Soft-Decision Viterbi Decoding 64
3.12.5 Turbo Coding 66
3.13 Chapter Summary 68
References 69
4 Modulation and Coding 71
4.1 Modulation Schemes of LTE 72
4.1.1 MATLAB Examples 73
4.1.2 BER Measurements 77
4.2 Bit-Level Scrambling 79
4.2.1 MATLAB Examples 80
4.2.2 BER Measurements 83
4.3 Channel Coding 85
4.4 Turbo Coding 85
4.4.1 Turbo Encoders 86
4.4.2 Turbo Decoders 87
4.4.3 MATLAB Examples 87
4.4.4 BER Measurements 89
4.5 Early-Termination Mechanism 93
4.5.1 MATLAB Examples 94
4.5.2 BER Measurements 95
4.5.3 Timing Measurements 98
4.6 Rate Matching 99
4.6.1 MATLAB Examples 100
4.6.2 BER Measurements 104
4.7 Codeblock Segmentation 105
4.7.1 MATLAB Examples 106
4.8 LTE Transport-Channel Processing 107
4.8.1 MATLAB Examples 107
4.8.2 BER Measurements 110
4.9 Chapter Summary 112
References 113
viii Contents
5 OFDM 115
5.1 Channel Modeling 115
5.1.1 Large-Scale and Small-Scale Fading 116
5.1.2 Multipath Fading Effects 116
5.1.3 Doppler Effects 117
5.1.4 MATLAB
?
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
5.8.1 CSR Symbols 126
5.8.2 DCI Symbols 127
5.8.3 BCH Symbols 127
5.8.4 Synchronization Symbols 128
5.8.5 User-Data Symbols 128
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
5.18.1 The SISO Case 148
5.18.2 The SIMO Case 155
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
6.3.1 Receiver-Combining Methods 169
6.3.2 Transmit Diversity 169
6.3.3 Spatial Multiplexing 169
6.4 Scope of MIMO Coverage 170
6.5 MIMO Channels 170
6.5.1 MATLAB
?
Implementation 171
6.5.2 LTE-Specific Channel Models 173
6.5.3 MATLAB Implementation 175
Contents ix
6.5.4 Initializing MIMO Channels 176
6.5.5 Adding AWGN 177
6.6 Common MIMO Features 178
6.6.1 MIMO Resource Grid Structure 178
6.6.2 Resource-Element Mapping 179
6.6.3 Resource-Element Demapping 183
6.6.4 CSR-Based Channel Estimation 186
6.6.5 Channel-Estimation Function 188
6.6.6 Channel-Estimate Expansion 190
6.6.7 Ideal Channel Estimation 194
6.6.8 Channel-Response Extraction 196
6.7 Specific MIMO Features 197
6.7.1 Transmit Diversity 197
6.7.2 Transceiver Setup Functions 205
6.7.3 Downlink Transmission Mode 2 215
6.7.4 Spatial Multiplexing 221
6.7.5 MIMO Operations in Spatial Multiplexing 225
6.7.6 Downlink Transmission Mode 4 234
6.7.7 Open-Loop Spatial Multiplexing 248
6.7.8 Downlink Transmission Mode 3 253
6.8 Chapter Summary 260
References 262
7 Link Adaptation 263
7.1 System Model 264
7.2 Link Adaptation in LTE 265
7.2.1 Channel Quality Estimation 266
7.2.2 Precoder Matrix Estimation 266
7.2.3 Rank Estimation 266
7.3 MATLAB?Examples 266
7.3.1 CQI Estimation 267
7.3.2 PMI Estimation 270
7.3.3 RI Estimation 271
7.4 Link Adaptations between Subframes 275
7.4.1 Structure of the Transceiver Model 275
7.4.2 Updating Transceiver Parameter Structures 276
7.5 Adaptive Modulation 277
7.5.1 No Adaptation 277
7.5.2 Changing the Modulation Scheme at Random 278
7.5.3 CQI-Based Adaptation 279
7.5.4 Verifying Transceiver Performance 280
7.5.5 Adaptation Results 281
7.6 Adaptive Modulation and Coding Rate 283
7.6.1 No Adaptation 283
7.6.2 Changing Modulation Scheme at Random 283
7.6.3 CQI-Based Adaptation 284
x Contents
7.6.4 Verifying Transceiver Performance 285
7.6.5 Adaptation Results 285
7.7 Adaptive Precoding 287
7.7.1 PMI-Based Adaptation 289
7.7.2 Verifying Transceiver Performance 290
7.7.3 Adaptation Results 291
7.8 Adaptive MIMO 291
7.8.1 RI-Based Adaptation 293
7.8.2 Verifying Transceiver Performance 294
7.8.3 Adaptation Results 294
7.9 Downlink Control Information 294
7.9.1 MCS 296
7.9.2 Rate of Adaptation 298
7.9.3 DCI Processing 298
7.10 Chapter Summary 302
References 303
8 System-Level Specification 305
8.1 System Model 306
8.1.1 Transmitter Model 306
8.1.2 MATLAB Model for a Transmitter Model 308
8.1.3 Channel Model 310
8.1.4 MATLAB Model for a Channel Model 310
8.1.5 Receiver Model 311
8.1.6 MATLAB Model for a Receiver Model 313
8.2 System Model in MATLAB 315
8.3 Quantitative Assessments 316
8.3.1 Effects of Transmission Modes 317
8.3.2 BER as a Function of SNR 319
8.3.3 Effects of Channel-Estimation Techniques 320
8.3.4 Effects of Channel Models 322
8.3.5 Effects of Channel Delay Spread and Cyclic Prefix 322
8.3.6 Effects of MIMO Receiver Algorithms 324
8.4 Throughput Analysis 325
8.5 System Model in Simulink 326
8.5.1 Building a Simulink Model 328
8.5.2 Integrating MATLAB Algorithms in Simulink 328
8.5.3 Parameter Initialization 336
8.5.4 Running the Simulation 339
8.5.5 Introducing a Parameter Dialog 341
8.6 Qualitative Assessment 349
8.6.1 Voice-Signal Transmission 350
8.6.2 Subjective Voice-Quality Testing 351
8.7 Chapter Summary 351
References 352
Contents xi
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
9.6.1 Vectorization 361
9.6.2 Preallocation 367
9.6.3 System Objects 371
9.7 Using Acceleration Features 383
9.7.1 MATLAB-to-C Code Generation 383
9.7.2 Parallel Computing 385
9.8 Using a Simulink Model 387
9.8.1 Creating the Simulink Model 388
9.8.2 Verifying Numerical Equivalence 389
9.8.3 Simulink Baseline Model 390
9.8.4 Optimizing the Simulink Model 391
9.9 GPU Processing 399
9.9.1 Setting up GPU Functionality in MATLAB 399
9.9.2 GPU-Optimized System Objects 400
9.9.3 Using a Single GPU System Object 401
9.9.4 Combining Parallel Processing with GPUs 403
9.10 Case Study: Turbo Coders on GPU 406
9.10.1 Baseline Algorithm on a cpu 407
9.10.2 Turbo Decoder on a GPU 410
9.10.3 Multiple System Objects on GPU 411
9.10.4 Multiple Frames and Large Data Sizes 413
9.10.5 Using Single-Precision Data Type 416
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
10.5.1 Case Study: Frequency-Domain Equalization 424
10.5.2 Using a MATLAB Command 424
10.5.3 Using the MATLAB Coder Project 426
10.6 Structure of the Generated C Code 429
10.7 Supported MATLAB Subset 432
10.7.1 Readiness for Code Generation 433
10.7.2 Case Study: Interpolation of Pilot Signals 434
10.8 Complex Numbers and Native C Types 436
xii Contents
10.9 Support for System Toolboxes 438
10.9.1 Case Study: FFT and Inverse FFT 439
10.10 Support for Fixed-Point Data 444
10.10.1 Case Study: FFT Function 445
10.11 Support for Variable-Sized Data 447
10.11.1 Case Study: Adaptive Modulation 448
10.11.2 Fixed-sized Code Generation 449
10.11.3 Bounded Variable-Sized Data 454
10.11.4 Unbounded Variable-Sized Data 456
10.12 Integration with Existing C/C++ Code 458
10.12.1 Algorithm 458
10.12.2 Executing MATLAB Testbench 460
10.12.3 Generating C Code 463
10.12.4 Entry-Point Functions in C 463
10.12.5 C Main Function 467
10.12.6 Compiling and Linking 468
10.12.7 Executing C Testbench 469
10.13 Chapter Summary 471
References 471
11 Summary 473
11.1 Modeling 473
11.1.1 Theoretical Considerations 474
11.1.2 Standard Specifications 474
11.1.3 Algorithms in MATLAB
?474
11.2 Simulation 476
11.2.1 Simulation Acceleration 476
11.2.2 Acceleration Methods 477
11.2.3 Implementation 477
11.3 Directions for Future Work 477
11.3.1 User-Plane Details 478
11.3.2 Control-Plane Processing 479
11.3.3 Hybrid Automatic Repeat Request 479
11.3.4 System-Access Modules 479
11.4 Concluding Remarks 480
Index 483

Understanding LTE with MATLAB.zip

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发表于 2014-3-24 21:43:49 | 显示全部楼层


   
wily 2014 年新书 Understanding LTE with MATLAB

Contents
Preface xiii
List of Abbreviations xv ...
ffggg 发表于 2014-3-24 20:21




    非常新,非常有用的书。
可是,配套的matlab代码在哪里能下载呢》?
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发表于 2014-3-24 21:52:29 | 显示全部楼层
多谢楼主的分享
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发表于 2014-3-25 09:16:46 | 显示全部楼层
very nice 的技术手册,紧跟时代
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发表于 2014-3-25 10:42:20 | 显示全部楼层
感謝分享
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发表于 2014-3-25 12:43:59 | 显示全部楼层
看起来非常有趣
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发表于 2014-3-27 20:55:20 | 显示全部楼层
好新的的书,Lte目前很热,好好学习了
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发表于 2014-3-28 05:49:44 | 显示全部楼层
真的好快。谢谢分享。
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发表于 2014-3-28 08:44:22 | 显示全部楼层
三月初wiley上下载之后就放在一边了,想不到有人分享了,呵呵
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发表于 2014-3-28 10:35:46 | 显示全部楼层


   
三月初wiley上下载之后就放在一边了,想不到有人分享了,呵呵
jacobshen 发表于 2014-3-28 08:44




    下载需要什么条件 ?
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