MIMO OFDM for LTE WiFi and WiMAX Coherent versus Non coherent and Cooperative Turbo Transceivers Wiley IEEE 1st Edition by Lajos L Hanzo, Yosef Akhtman, Li Wang, Ming Jiang ISBN 978-1119957454 1119957454
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ISBN 10: 1119957454
ISBN 13: 978-1119957454
Author: Lajos L Hanzo, Yosef Akhtman, Li Wang, Ming Jiang
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. Introduction to OFDM and MIMO-OFDM
OFDM History
OFDM Schematic
Channel Estimation for Multi-carrier Systems
Channel Estimation for MIMO-OFDM
Signal Detection in MIMO-OFDM Systems
Iterative Signal Processing for SDM-OFDM
System Model
SDM-OFDM System Model
Novel Aspects and Outline of the Book
Chapter Summary
2. OFDM Standards
Wi-Fi
3GPP LTE
WiMAX Evolution
Chapter Summary
Part I: Coherently Detected SDMA-OFDM Systems
3. Channel Coding Assisted STBC-OFDM Systems
Introduction
Space–Time Block Codes
Channel-Coded STBCs
Channel Coding Aided STBC-OFDM
Chapter Summary
4. Coded Modulation Assisted Multi-user SDMA-OFDM Using Frequency-Domain Spreading
Introduction
System Model
Simulation Results
Chapter Summary
5. Hybrid Multi-user Detection for SDMA-OFDM Systems
Introduction
GA-Assisted MUD
Enhanced GA-based MUD
Chapter Summary
6. Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided Multi-user SDMA-OFDM Systems
Conventional SDMA-OFDM Systems
Introduction to Hybrid SDMA-OFDM
Subband Hopping Versus Subcarrier Hopping
System Architecture
Simulation Results
Complexity Issues
Conclusions
Chapter Summary
7. Channel Estimation for OFDM and MC-CDMA
Pilot-Assisted Channel Estimation
Decision-Directed Channel Estimation
A Posteriori FD-CTF Estimation
A Posteriori CIR Estimation
Parametric FS-CIR Estimation
Time-Domain A Priori CIR Tap Prediction
PASTD-Aided DDCE
Channel Estimation for MIMO-OFDM
Chapter Summary
8. Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems
Introduction
System Overview
GA-Assisted Iterative Joint Channel Estimation and MUD
Simulation Results
Conclusions
Chapter Summary
Part 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
Introduction
Principle of SD
Complexity-Reduction Schemes for SD
Comparison of the Depth-First, K-Best and OHRSA Detectors
Chapter Conclusions
10. Reduced-Complexity Iterative Sphere Detection for Channel-Coded SDMA-OFDM Systems
Introduction
Channel-Coded Iterative Centre-Shifting SD
A Priori LLR-Threshold-Assisted Low-Complexity SD
URC-Aided Three-Stage Iterative Receiver Employing SD
Chapter Conclusions
11. Sphere-Packing Modulated STBC-OFDM and its Sphere Detection
Introduction
Orthogonal Transmit Diversity Design with SP Modulation
Sphere Detection Design for SP Modulation
Chapter Conclusions
12. Multiple-Symbol Differential Sphere Detection for Differentially Modulated Cooperative OFDM Systems
Introduction
Principle of Single-Path MSDSD
Multi-path MSDSD Design for Cooperative Communication
Chapter Conclusions
13. Resource Allocation for the Differentially Modulated Cooperation-Aided Cellular Uplink in Fast Rayleigh Fading Channels
Introduction
Performance Analysis of the Cooperation-Aided UL
CUS for the Uplink
Joint CPS and CUS for the Differential Cooperative Cellular UL Using APC
Chapter Conclusions
14. The Near-Capacity Differentially Modulated Cooperative Cellular Uplink
Introduction
Channel Capacity of Non-coherent Detectors
SISO MSDSD
Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink
Chapter Conclusions
Part III: Coherent SDM-OFDM Systems
List of Symbols in Part III
15. Multi-stream Detection for SDM-OFDM Systems
SDM/V-BLAST OFDM Architecture
Linear Detection Methods
Nonlinear SDM Detection Methods
Performance Enhancement Using Space–Frequency Interleaving
Performance Comparison and Discussion
Conclusions
16. Approximate Log-MAP SDM-OFDM Multi-stream Detection
OHRSA-Aided SDM Detection
17. Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM
Iterative Signal Processing
Turbo Forward Error-Correction Coding
Iterative Detection–Decoding
Iterative Channel Estimation–Detection and Decoding
Chapter Summary
18. Summary, Conclusions and Future Research
Summary of Results
Suggestions for Future Research
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Tags: Lajos L Hanzo, Yosef Akhtman, Li Wang, Ming Jiang, MIMO OFDM, WiFi and WiMAX