MIMO-OFDM for LTE, WIFI, and WIMAX coherent versus non-coherent and cooperative turbo-transceivers

MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and CooperativeTurbo-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...

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Detalles Bibliográficos
Autor principal: Hanzo, Lajos, 1952- (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Chichester, West Sussex, U.K. ; Hoboken, NJ : Wiley 2010.
Edición:1st edition
Colección:Wiley - IEEE ; 10
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628274806719
Tabla de Contenidos:
  • About the Authors
  • OtherWiley and IEEE Press Books on Related Topics
  • Acknowledgments
  • Preface
  • List of Symbols
  • 1 Introduction to OFDM and MIMO-OFDM
  • 1.1 OFDM History
  • 1.2 OFDM Schematic
  • 1.3 Channel Estimation for Multicarrier
  • 1.5 Signal Detection in MIMO-OFDM Systems
  • 1.6 Iterative Signal Processing for SDM-OFDM
  • 1.7 System Model
  • 1.8 SDM-OFDM System Model
  • 1.9 Novel Aspects and Outline of the Book
  • 1.10 Chapter Summary
  • 2 OFDM Standards
  • 2.1 Wi-Fi
  • 2.2 3GPP Long-Term Evolution
  • 2.3 WiMAX Evolution
  • 2.4 Chapter Summary
  • I Coherently Detected SDMA-OFDM Systems
  • 3 Channel Coding Assisted STBC-OFDM Systems
  • 3.1 Introduction
  • 3.2 Space-Time Block Codes
  • 3.3 Channel Coded Space-Time Block Codes
  • 3.4 Channel Coding Aided Space-Time Block Coded OFDM
  • 3.5 Chapter Summary
  • 4 Coded Modulation Assisted Multi-User SDMA-OFDM Using Frequency-Domain Spreading
  • 4.1 Introduction
  • 4.2 System Model
  • 4.3 Simulation Results
  • 4.4 Chapter Summary
  • 5 Hybrid Multi-User Detection for SDMA-OFDM Systems
  • 5.1 Introduction
  • 5.2 Genetical Algorithm Assisted Multi-User Detection
  • 5.3 Enhanced GA-based Multi-User Detection
  • 5.4 Chapter Summary
  • 6 DS-Spreading and Slow Subcarrier-Hopping Aided Multi-User SDMA-OFDM Systems
  • 6.1 Conventional SDMA-OFDM Systems
  • 6.2 Introduction to Hybrid SDMA-OFDM
  • 6.3 Subband-Hopping Versus Subcarrier-Hopping
  • 6.4 System Architecture
  • 6.5 Simulation Results
  • 6.6 Complexity Issues
  • 6.7 Conclusions
  • 6.8 Chapter Summary
  • 7 Channel Estimation for OFDM and MC-CDMA
  • 7.1 Pilot-Assisted Channel Estimation
  • 7.2 Decision Directed Channel Estimation
  • 7.3 A Posteriori FD-CTF Estimation
  • 7.4 A Posteriori CIR Estimation
  • 7.5 Parametric FS-CIR Estimation
  • 7.6 Time-Domain A Priori CIR Tap Prediction
  • 7.7 PASTD Aided DDCE
  • 7.8 Channel Estimation for MIMO-OFDM
  • 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems
  • 8.1 Introduction
  • 8.2 System Overview
  • 8.3 GA-assisted Iterative Joint Channel Estimation and MUD.
  • 8.4 Simulation Results
  • 8.5 Conclusions
  • 8.6 Chapter Summary
  • II Coherent versus Non-Coherent and Cooperative OFDM Systems List of Symbols in Part II
  • 9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems
  • 9.1 Introduction
  • 9.2 Principle of Sphere Detection
  • 9.3 Complexity-Reduction Schemes for SD
  • 9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors
  • 9.5 Chapter Conclusions
  • 10 Reduced-Complexity Iterative Sphere Detection for Channel Coded SDMA-OFDM Systems
  • 10.1 Introduction
  • 10.2 Channel Coded Iterative Center-Shifting SD
  • 10.3 Apriori-LLR-Threshold-Assisted Low-Complexity SD
  • 10.4 Unity-Rate-Code-Aided Three-Stage Iterative Receiver Employing SD
  • 10.5 Chapter Conclusions
  • 11 Sphere Packing Modulated STBC-OFDM and its Sphere Detection
  • 11.1 Introduction
  • 11.2 Orthogonal Transmit Diversity Design with Sphere Packing Modulation
  • 11.3 Sphere Detection Design for Sphere Packing Modulation
  • 11.4 Chapter Conclusions
  • 12 Multiple-Symbol Differential Sphere Detection for Cooperative OFDM
  • 12.1 Introduction
  • 12.2 Principle of Single-Path Multiple-Symbol Differential Sphere Detection
  • 12.3 Multi-Path MSDSD Design for Cooperative Communication
  • 12.4 Chapter Conclusions
  • 13 Resource Allocation for the DifferentiallyModulated Cooperative Uplink
  • 13.1 Introduction
  • 13.2 Performance Analysis of the Cooperation-Aided Uplink
  • 13.3 Cooperating-User-Selection for the Uplink
  • 13.4 Joint CPS and CUS for the Differential Cooperative Cellular Uplink Using APC
  • 13.5 Chapter Conclusions
  • 14 The Near-Capacity DifferentiallyModulated Cooperative Cellular Uplink
  • 14.1 Introduction
  • 14.2 Channel Capacity of Non-coherent Detectors
  • 14.3 Soft-Input Soft-OutputMSDSD
  • 14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink
  • 14.5 Chapter Conclusions
  • III Coherent SDM-OFDM Systems
  • 15 Multi-Stream Detection for SDM-OFDM Systems
  • 15.1 SDM/V-BLAST OFDM Architecture.
  • 15.2 Linear Detection Methods
  • 15.3 Non-Linear SDM Detection Methods
  • 15.4 Performance Enhancement Using Space-Frequency Interleaving
  • 15.5 Performance Comparison and Discussion
  • 15.6 Conclusions
  • 16 Approximate Log-MAP SDM-OFDM Multi-Stream Detection
  • 16.1 Optimized Hierarchy Reduced Search Algorithm-Aided SDM Detection
  • 17 Iterative Channel Estimation and Multi-Stream Detection for SDM-OFDM
  • 17.1 Iterative Signal Processing
  • 17.2 Turbo Forward Error Correction Coding
  • 17.3 Iterative Detection - Decoding
  • 17.4 Iterative Channel Estimation - Detection - Decoding
  • 18 Summary, Conclusions and Future Research
  • 18.1 Summary of the Results
  • 18.2 Suggestions for Future Research
  • A Appendix to Chapter 5
  • A.1 A Brief Introduction to Genetic Algorithms
  • A.2 Normalization of the Mutation-Induced Transition Probability
  • Glossary
  • Bibliography
  • Subject Index
  • Author Index.