MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers

著者

書誌事項

MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers

by Lajos Hanzo, Yosef (Jos) Akhtman, Li Wang, Ming Jiang

Wiley, 2011

  • cloth

大学図書館所蔵 件 / 全2件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and Cooperative Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on OFDM techniques augmented with Space-Time Block Codes (STBCs) and Spatial-Division Multiple Access (SDMA). The volume also offers an in-depth treatment of cutting-edge Cooperative Communications. This monograph collates the latest techniques in a number of specific design areas of turbo-detected MIMO-OFDM wireless systems. As a result a wide range of topical subjects are examined, including channel coding and multiuser detection (MUD), with a special emphasis on optimum maximum-likelihood (ML) MUDs, reduced-complexity genetic algorithm aided near-ML MUDs and sphere detection. The benefits of spreading codes as well as joint iterative channel and data estimation are only a few of the radical new features of the book. Also considered are the benefits of turbo and LDPC channel coding, the entire suite of known joint coding and modulation schemes, space-time coding as well as SDM/SDMA MIMOs within the context of various application examples. The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems; the depth of discussions increases towards the end of the book. Discusses many state-of-the-art topics important to today's wireless communications engineers. Includes numerous complete system design examples for the industrial practitioner. Offers a detailed portrayal of sphere detection. Based on over twenty years of research into OFDM in the context of various applications, subsequently presenting comprehensive bibliographies.

目次

About the Authors xix Other Wiley-IEEE Press Books on Related Topics xxi Preface xxiii Acknowledgments xxvii List of Symbols xxix 1 Introduction to OFDM and MIMO-OFDM 1 1.1 OFDM History 1 1.2 OFDM Schematic 9 1.3 Channel Estimation for Multi-carrier Systems 12 1.4 Channel Estimation for MIMO-OFDM 15 1.5 Signal Detection in MIMO-OFDM Systems 16 1.6 Iterative Signal Processing for SDM-OFDM 21 1.7 System Model 22 1.8 SDM-OFDM System Model 29 1.9 Novel Aspects and Outline of the Book 33 1.10 Chapter Summary 36 2 OFDM Standards 37 2.1 Wi-Fi 37 2.2 3GPP LTE 38 2.3 WiMAX Evolution 39 2.4 Chapter Summary 59 Part I Coherently Detected SDMA-OFDM Systems 61 3 Channel Coding Assisted STBC-OFDM Systems 63 3.1 Introduction 63 3.2 Space-Time Block Codes 63 3.3 Channel-Coded STBCs 75 3.4 Channel Coding Aided STBC-OFDM 95 3.5 Chapter Summary 106 4 Coded Modulation Assisted Multi-user SDMA-OFDM Using Frequency-Domain Spreading 109 4.1 Introduction 109 4.2 System Model 110 4.3 Simulation Results 113 4.4 Chapter Summary 135 5 Hybrid Multi-user Detection for SDMA-OFDM Systems 139 5.1 Introduction 139 5.2 GA-Assisted MUD 140 5.3 Enhanced GA-based MUD 148 5.4 Chapter Summary 168 6 Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided Multi-user SDMA-OFDM Systems 171 6.1 Conventional SDMA-OFDM Systems 171 6.2 Introduction to Hybrid SDMA-OFDM 172 6.3 Subband Hopping Versus Subcarrier Hopping 173 6.4 System Architecture 175 6.5 Simulation Results 188 6.6 Complexity Issues 196 6.7 Conclusions 197 6.8 Chapter Summary 197 7 Channel Estimation for OFDM and MC-CDMA 201 7.1 Pilot-Assisted Channel Estimation 201 7.2 Decision-Directed Channel Estimation 202 7.3 A Posteriori FD-CTF Estimation 203 7.4 A Posteriori CIR Estimation 206 7.5 Parametric FS-CIR Estimation 216 7.6 Time-Domain A Priori CIR Tap Prediction 223 7.7 PASTD-Aided DDCE 230 7.8 Channel Estimation for MIMO-OFDM 233 7.9 Chapter Summary 245 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems 247 8.1 Introduction 247 8.2 System Overview 249 8.3 GA-Assisted Iterative Joint Channel Estimation and MUD 250 8.4 Simulation Results 259 8.5 Conclusions 268 8.6 Chapter Summary 268 Part II Coherent versus Non-coherent and Cooperative OFDM Systems 271 List of Symbols in Part II 273 9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems 275 9.1 Introduction 275 9.2 Principle of SD 278 9.3 Complexity-Reduction Schemes for SD 289 9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors 301 9.5 Chapter Conclusions 303 10 Reduced-Complexity Iterative Sphere Detection for Channel-Coded SDMA-OFDM Systems 307 10.1 Introduction 307 10.2 Channel-Coded Iterative Centre-Shifting SD 311 10.3 A Priori LLR-Threshold-Assisted Low-Complexity SD 334 10.4 URC-Aided Three-Stage Iterative Receiver Employing SD 343 10.5 Chapter Conclusions 353 11 Sphere-Packing Modulated STBC-OFDM and its Sphere Detection 357 11.1 Introduction 357 11.2 Orthogonal Transmit Diversity Design with SP Modulation 360 11.3 Sphere Detection Design for SP Modulation 369 11.4 Chapter Conclusions 376 12 Multiple-Symbol Differential Sphere Detection for Differentially Modulated Cooperative OFDM Systems 379 12.1 Introduction 379 12.2 Principle of Single-Path MSDSD 385 12.3 Multi-path MSDSD Design for Cooperative Communication 390 12.4 Chapter Conclusions 416 13 Resource Allocation for the Differentially Modulated Cooperation-Aided Cellular Uplink in Fast Rayleigh Fading Channels 419 13.1 Introduction 419 13.2 Performance Analysis of the Cooperation-Aided UL 421 13.3 CUS for the Uplink 432 13.4 Joint CPS and CUS for the Differential Cooperative Cellular UL Using APC 449 13.5 Chapter Conclusions 456 14 The Near-Capacity Differentially Modulated Cooperative Cellular Uplink 459 14.1 Introduction 459 14.2 Channel Capacity of Non-coherent Detectors 463 14.3 SISO MSDSD 465 14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink 472 14.5 Chapter Conclusions 487 Part III Coherent SDM-OFDM Systems 491 List of Symbols in Part III 493 15 Multi-stream Detection for SDM-OFDM Systems 495 15.1 SDM/V-BLAST OFDM Architecture 495 15.2 Linear Detection Methods 496 15.3 Nonlinear SDM Detection Methods 501 15.4 Performance Enhancement Using Space-Frequency Interleaving 509 15.5 Performance Comparison and Discussion 511 15.6 Conclusions 512 16 Approximate Log-MAP SDM-OFDM Multi-stream Detection 515 16.1 OHRSA-Aided SDM Detection 515 17 Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM 549 17.1 Iterative Signal Processing 549 17.2 Turbo Forward Error-Correction Coding 550 17.3 Iterative Detection-Decoding 552 17.4 Iterative Channel Estimation-Detection and Decoding 554 17.5 Chapter Summary 560 18 Summary, Conclusions and Future Research 563 18.1 Summary of Results 563 18.2 Suggestions for Future Research 587 A Appendix to Chapter 5 597 A.1 A Brief Introduction to Genetic Algorithms 597 A.2 Normalization of the Mutation-Induced Transition Probability 601 Glossary 603 Bibliography 611 Subject Index 641 Author Index 647

「Nielsen BookData」 より

詳細情報

ページトップへ