OFDM and MC-CDMA: A Primer
Lajos Hanzo, Thomas Keller
- 出版商: IEEE
- 出版日期: 2006-06-30
- 定價: $4,500
- 售價: 9.5 折 $4,275
- 語言: 英文
- 頁數: 430
- 裝訂: Hardcover
- ISBN: 0470030070
- ISBN-13: 9780470030073
-
相關分類:
通訊系統 Communication-systems
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Description
Wireless communications has witnessed a tremendous growth during the past decade and further spectacular enabling technology advances are expected in an effort to render ubiquitous wireless connectivity a reality.Currently, a technical in-depth book on this subject is unavailable, which has a similar detailed exposure of OFDM, MIMO-OFDM and MC-CDMA. A further attraction of the joint treatment of these topics is that it allows the reader to view their design trade-offs in a comparative context.
Divided into three main parts:
Part I provides a detailed exposure of OFDM designed for employment in various applications
Part II is another design alternative applicable in the context of OFDM systems where the channel quality fluctuations observed are averaged out with the aid of frequency-domain spreading codes, which leads to the concept of MC-CDMA
Part III discusses how to employ multiple antennas at the base station for the sake of supporting multiple users in the uplink
By providing an all-encompassing self-contained treatment this volume will appeal to a wide readership, as it is both an easy-reading textbook and a high-level research monograph.
Table of Contents
About the Authors.Other Wiley and IEEE Press Books on Related Topics.
Acknowledgements.
1. Introduction.
1.1 Motivationof theBook.
1.2 Orthogonal Frequency Division Multiplexing History.
1.3 Outline of the Book.
1.4 ChapterSummaryandConclusion.
I OFDM System Design.
2. Introduction to Orthogonal Frequency Division Multiplexing.
2.1 Introduction.
2.2 Principles of QAM-OFDM.
2.3 Modulation by DFT.
2.4 Transmissionvia Bandlimited Channels.
2.5 Basic OFDM Modem Implementations.
2.6 Cyclic OFDM Symbol Extension.
2.7 Decision-Directed Adaptive Channel Equalisation.
2.8 OFDM Bandwidth Efficiency.
2.9 Chapter Summary and Conclusion.
3. OFDM Transmission over Gaussian Channels
3.1 Orthogonal Frequency Division Multiplexing.
3.2 Choice of the OFDM Modulation.
3.3 OFDM System Performance over AWGN Channels.
3.4 Clipping Amplification.
3.5 Analogue-to-Digital Conversion.
3.6 PhaseNoise.
3.7 Chapter Summary and Conclusion.
4. OFDM Transmission over Wideband Channels.
4.1 The Channel Model.
4.2 Effects of Time-Dispersive Channels on OFDM.
4.3 Channel Transfer Function Estimation.
4.4 System Performance.
4.5 Intersubcarrier Interference Cancellation.
4.6 Chapter Summary and Conclusion.
5. OFDM Time and Frequency Domain Synchronisation.
5.1 System Performance with Frequency and Timing Errors.
5.2 Synchronisation Algorithms.
5.3 Comparison of the Frequency Acquisition Algorithms.
5.4 BER Performance with Frequency Synchronisation.
5.5 Chapter Summary and Conclusion.
5.6 Appendix:OFDM Synchronisation Performance.
6. Adaptive Single- and Multi-user OFDM Techniques.
6.1 Introduction.
6.2 Adaptive Modulation for OFDM.
6.3 Adaptive OFDM Speech System.
6.4 Pre-equalisation.
6.5 Comparison of the Adaptive Techniques.
6.6 Near-Optimum Power- and Bit Allocation in OFDM.
6.7 Multi-User AOFDM.
6.8 Chapter Summary and Conclusion.
II. OFDM versus MC-CDMA Systems.
7. OFDM versus MC-CDMA.
7.1 Amalgamating DS-CDMA and OFDM.
7.3 Further Research Topics in MC-CDMA.
7.4 Chapter Summary and Conclusion.
8. Basic Spreading Sequences.
8.1 PN Sequences.
8.2 Orthogonal Codes.
8.3 Chapter Summary and Conclusion.
9. MC-CDMA Performance in Synchronous Environments.
9.1 The Frequency Selective Channel Model.
9.2 The System Model.
9.3 Single User Detection.
9.4 Multi-User Detection.
9.5 Chapter Summary and Conclusion.
III. Advanced Topics: Multi-User OFDM Systems.
10 Maximum-Likelihood Enhanced Sphere Decoding of MIMO-OFDM.
10.1 Classification of SmartAntennas.
10.2 Introduction to Space-Time Processing.
10.3 SDM-OFDM System Model.
10.4 Optimised Hierarchy Reduced Search Algorithm-Aided SDM Detection.
10.5 Chapter Summary and Conclusion.
11. Genetic Algorithm Aided Joint Channel Estimation and MUD for SDMA OFDM.
11.1 Introduction.
11.2 SDMA MIMO Channel Model.
11.3 System Overview.
11.4 GA-Aided Iterative Joint Channel Estimation and Multi-User Detection.
11.5 Simulation Results.
11.6 Chapter Summary and Conclusion.
12. Multi-User OFDM Employing Genetic Algorithm Aided Minimum Bit Error RateMulti-User Detection.
12.1 Introduction.
12.2 SystemModel.
12.3 GeneticAlgorithm.
12.4 SimulationResults.
12.5 ComplexityComparison.
12.6 ChapterSummaryandConclusion.
13. Conclusion and Further Research Problems.
13.1 Summary and Conclusions of Part I.
13.2 Summary and Conclusions of Part II.
13.3 Summary and Conclusions of Part III.
13.4 Closing Remarks.
Glossary.
Bibliography.
Subject Index.
Author Index.