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MIMO-OFDM for LTE, WiFi and WiMAX: Coherent versus Non-coherent and Cooperative Turbo Transceivers

Book Description

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.

Table of Contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Preface
  6. About the Authors
    1. Other Wiley–IEEE Press Books on Related Topics
  7. Acknowledgements
  8. List of Symbols
  9. 1 Introduction to OFDM and MIMO-OFDM
    1. 1.1 OFDM History
    2. 1.2 OFDM Schematic
    3. 1.3 Channel Estimation for Multi-carrier Systems
    4. 1.4 Channel Estimation for MIMO-OFDM
    5. 1.5 Signal Detection in MIMO-OFDM Systems
    6. 1.6 Iterative Signal Processing for SDM-OFDM
    7. 1.7 System Model
    8. 1.8 SDM-OFDM System Model
    9. 1.9 Novel Aspects and Outline of the Book
    10. 1.10 Chapter Summary
  10. 2 OFDM Standards
    1. 2.1 Wi-Fi
    2. 2.3 WiMAX Evolution
    3. 2.4 Chapter Summary
  11. Part I Coherently Detected SDMA-OFDM Systems
    1. 3 Channel Coding Assisted STBC-OFDM Systems
      1. 3.1 Introduction
      2. 3.2 Space–Time Block Codes
      3. 3.3 Channel-Coded STBCs
      4. 3.4 Channel Coding Aided STBC-OFDM
    2. 4 Coded Modulation Assisted Multi-user SDMA-OFDM Using Frequency-Domain Spreading
      1. 4.1 Introduction
      2. 4.2 System Model
      3. 4.3 Simulation Results
      4. 4.4 Chapter Summary
    3. 5 Hybrid Multi-user Detection for SDMA-OFDM Systems
      1. 5.1 Introduction1
      2. 5.2 GA-Assisted MUD
      3. 5.3 Enhanced GA-based MUD
      4. 5.4 Chapter Summary
    4. 6 Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided Multi-user SDMA-OFDM Systems
      1. 6.1 Conventional SDMA-OFDM Systems1
      2. 6.2 Introduction to Hybrid SDMA-OFDM
      3. 6.3 Subband Hopping Versus Subcarrier Hopping
      4. 6.4 System Architecture
      5. 6.5 Simulation Results
      6. 6.6 Complexity Issues
      7. 6.7 Conclusions
      8. 6.8 Chapter Summary
    5. 7 Channel Estimation for OFDM and MC-CDMA
      1. 7.1 Pilot-Assisted Channel Estimation
      2. 7.2 Decision-Directed Channel Estimation
      3. 7.3 A Posteriori FD-CTF Estimation
      4. 7.4 A Posteriori CIR Estimation
      5. 7.5 Parametric FS-CIR Estimation
      6. 7.6 Time-Domain A Priori CIR Tap Prediction
      7. 7.8 Channel Estimation for MIMO-OFDM
      8. 7.9 Chapter Summary
    6. 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems
      1. 8.1 Introduction1
      2. 8.2 System Overview
      3. 8.3 GA-Assisted Iterative Joint Channel Estimation and MUD
      4. 8.4 Simulation Results
      5. 8.5 Conclusions
      6. 8.6 Chapter Summary
  12. Part II Coherent versus Non-coherent and Cooperative OFDM Systems
    1. General notation
    2. Special symbols
    3. 9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems
      1. 9.1 Introduction
      2. 9.2 Principle of SD
      3. 9.3 Complexity-Reduction Schemes for SD
      4. 9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors
      5. 9.5 Chapter Conclusions
    4. 10 Reduced-Complexity Iterative Sphere Detection for Channel-Coded SDMA-OFDM Systems
      1. 10.1 Introduction1
      2. 10.2 Channel-Coded Iterative Centre-Shifting SD
      3. 10.3 A Priori LLR-Threshold-Assisted Low-Complexity SD
      4. 10.4 URC-Aided Three-Stage Iterative Receiver Employing SD
      5. 10.5 Chapter Conclusions
    5. 11 Sphere-Packing Modulated STBC-OFDM and its Sphere Detection
      1. 11.1 Introduction
      2. 11.2 Orthogonal Transmit Diversity Design with SP Modulation
      3. 11.3 Sphere Detection Design for SP Modulation
      4. 11.4 Chapter Conclusions
    6. 12 Multiple-Symbol Differential Sphere Detection for Differentially Modulated Cooperative OFDM Systems
      1. 12.1 Introduction1
      2. 12.2 The Principle of Single-Path MSDSD [597]
      3. 12.3 Multi-path MSDSD Design for Cooperative Communication
      4. 12.4 Chapter Conclusions
    7. 13 Resource Allocation for the Differentially Modulated Cooperation-Aided Cellular Uplink in Fast Rayleigh Fading Channels
      1. 13.1 Introduction1
      2. 13.2 Performance Analysis of the Cooperation-Aided UL
      3. 13.3 CUS for the Uplink
      4. 13.4 Joint CPS and CUS for the Differential Cooperative Cellular UL Using APC
      5. 13.5 Chapter Conclusions
    8. 14 The Near-Capacity Differentially Modulated Cooperative Cellular Uplink
      1. 14.1 Introduction
      2. 14.2 Channel Capacity of Non-coherent Detectors
      3. 14.3 SISO MSDSD
      4. 14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink
      5. 14.5 Chapter Conclusions
  13. Part III Coherent SDM-OFDM Systems
    1. 15 Multi-stream Detection for SDM-OFDM Systems
      1. 15.1 SDM/V-BLAST OFDM Architecture
      2. 15.2 Linear Detection Methods
      3. 15.3 Nonlinear SDM Detection Methods
      4. 15.4 Performance Enhancement Using Space–Frequency Interleaving
      5. 15.5 Performance Comparison and Discussion
      6. 15.6 Conclusions
    2. 16 Approximate Log-MAP SDM-OFDM Multi-stream Detection
      1. 16.1 OHRSA-Aided SDM Detection1
    3. 17 Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM
      1. 17.1 Iterative Signal Processing
      2. 17.2 Turbo Forward Error-Correction Coding
      3. 17.3 Iterative Detection – Decoding
      4. 17.4 Iterative Channel Estimation – Detection and Decoding
      5. 17.5 Chapter Summary
    4. 18 Summary, Conclusions and Future Research
      1. 18.1 Summary of Results
      2. 18.2 Suggestions for Future Research
  14. Appendix A Appendix to Chapter 5
    1. A.1 A Brief Introduction to Genetic Algorithms
    2. A.2 Normalization of the Mutation-Induced Transition Probability
  15. Glossary
  16. References
  17. Subject Index
  18. Author Index