Advances in Multiuser Detection

A TIMELY EXPLORATION OF MULTIUSER DETECTION IN WIRELESS NETWORKS
During the past decade, the design and development of current and emerging wireless systems have motivated many important advances in multiuser detection. This book fills an important need by providing a comprehensive overview of crucial recent developments that have occurred in this active research area. Each chapter is contributed by noted experts and is meant to serve as a self–contained treatment of the topic. Coverage includes:Linear and decision feedback methodsIterative multiuser detection and decodingMultiuser detection in the presence of channel impairmentsPerformance analysis with random signatures and channelsJoint detection methods for MIMO channelsInterference avoidance methods at the transmitterTransmitter precoding methods for the MIMO downlink
This book is an ideal entry point for exploring ongoing research in multiuser detection and for learning about the field′s existing unsolved problems and issues. It is a valuable resource for researchers, engineers, and graduate students who are involved in the area of digital communications.

Spis treści:
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 (Daryl Reynolds, H. Vincent Poor, and Xiaodong Wang).
3.1 Int roduction.
3.2 Signal Models and Blind Multiuser Detectors for Fading Channels.
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–Fading Channels.
3.6 Transmitter–Based Multiuser Precoding for Fading Channels.
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