Advances in Multiuser Detection
Published on 7. September 2009
384 pages
978-0-470-47380-1 (ISBN)
Description
A Timely Exploration of Multiuser Detection in WirelessNetworks
During the past decade, the design and development of currentand emerging wireless systems have motivated many importantadvances in multiuser detection. This book fills an important needby providing a comprehensive overview of crucial recentdevelopments that have occurred in this active research area. Eachchapter is contributed by noted experts and is meant to serve as aself-contained treatment of the topic. Coverage includes:
* Linear and decision feedback methods
* Iterative multiuser detection and decoding
* Multiuser detection in the presence of channelimpairments
* Performance analysis with random signatures and channels
* Joint detection methods for MIMO channels
* Interference avoidance methods at the transmitter
* Transmitter precoding methods for the MIMO downlink
This book is an ideal entry point for exploring ongoing researchin multiuser detection and for learning about the field's existingunsolved problems and issues. It is a valuable resource forresearchers, engineers, and graduate students who are involved inthe area of digital communications.
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Michael L. Honig
Advances in Multiuser Detection
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09/2009
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Wiley-IEEE Press
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Michael L. Honig
Advances in Multiuser Detection
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11/2008
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MICHAEL L. HONIG is a Professor in the Electrical Engineering and Computer Science Department at Northwestern University.
Content
Preface.
Contributors.
1 Overview of Multiuser Detection (Michael L.Honig).
1.1 Introduction.
1.2 Matrix Channel Model.
1.3 Optimal Multiuser Detection.
1.4 Linear Detectors.
1.5 Reduced-Rank Estimation.
1.6 Decision-Feedback Detection.
1.7 Interference Mitigation at the Transmitter.
1.8 Overview of Remaining Chapters.
References.
2 Iterative Techniques (Alex Grant and Lars K.Rasmussen).
2.1 Introduction.
2.2 Iterative Joint Detection for Uncoded Data.
2.3 Iterative Joint Decoding for Coded Data.
2.4 Concluding Remarks.
References.
3 Blind Multiuser Detection in Fading Channels (DarylReynolds, H. Vincent Poor, and Xiaodong Wang).
3.1 Introduction.
3.2 Signal Models and Blind Multiuser Detectors for FadingChannels.
3.3 Performance of Blind Multiuser Detectors.
3.4 Bayesian Multiuser Detection for Long-Code CDMA.
3.5 Multiuser Detection for Long-Code CDMA in Fast-FadingChannels.
3.6 Transmitter-Based Multiuser Precoding for FadingChannels.
3.7 Conclusion.
References.
4 Performance with Random Signatures (Matthew J. M.Peacock, Iain B. Collings, and Michael L. Honig).
4.1 Random Signatures and Large System Analysis.
4.2 System Models.
4.3 Large System Limit.
4.4 Random Matrix Terminology.
4.5 Incremental Matrix Expansion.
4.6 Analysis of Downlink Model.
4.7 Spectral Efficiency.
4.8 Adaptive Linear Receivers.
4.9 Other Models and Extensions.
4.10 Bibliographical Notes.
References.
5 Generic Multiuser Detection and Statistical Physics
