Advances in Multiuser Detection
- 0 %
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Advances in Multiuser Detection

 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780470473801
Veröffentl:
2009
Einband:
E-Book
Seiten:
512
Autor:
Michael L. Honig
Serie:
1, Wiley Series in Telecommunications and Signal Processing
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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 methods Iterative multiuser detection and decoding Multiuser detection in the presence of channel impairments 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 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.
A Timely Exploration of Multiuser Detection in Wireless NetworksDuring 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 methods* Iterative multiuser detection and decoding* Multiuser detection in the presence of channel impairments* 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 downlinkThis 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.
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<Dongning Guo and Toshiyuki Tanaka). 5.1 Introduction. 5.2 Generic Multiuser Detection. 5.3 Main Results: Single-User Characterization. 5.4 The Replica Analysis of Generic Multiuser Detection. 5.5 Further Discussion. 5.6 Statistical Physics and the Replica Method. 5.7 Interference Cancellation. 5.8 Concluding Remarks. 5.9 Acknowledgments. References. 6 Joint Detection for Multi-Antenna Channels (AntoniaTulino, Matthew R. McKay, Jeffrey G. Andrews,. Iain B. Collings, and Robert W. Heath, Jr.). 6.1 Introduction. 6.2 Wireless Channels: The Multi-Antenna Realm. 6.3 Definitions and Preliminaries. 6.4 Multi-Antenna Capacity: Ergodic Regime. 6.5 Multi-Antenna Capacity: Non-Ergodic Regime. 6.6 Receiver Architectures and Performance. 6.7 Multiuser Multi-Antenna Systems. 6.8 Diversity-Multiplexing Tradeoffs and Spatial Adaptation. 6.9 Conclusions. References. 7 Interference Avoidance for CDMA Systems (Dimitrie C.Popescu, Sennur Ulukus, Christopher Rose, and Roy Yates). 7.1 Introduction. 7.2 Interference Avoidance Basics. 7.3 Interference Avoidance over Time-Invariant Channels. 7.4 Interference Avoidance in Fading Channels. 7.5 Interference Avoidance in Asynchronous Systems. 7.6 Feedback Requirements for Interference Avoidance. 7.7 Recent Results on Interference Avoidance. 7.8 Summary and Conclusions. References. 8 Capacity-Approaching Multiuser Communications Over MultipleInput/Multiple Output Broadcast Channels (Uri Erez andStephan ten Brink). 8.1 Introduction. 8.2 Many-to-One Multiple Access versus One-to-Many ScalarBroadcast Channels. 8.3 Alternative Approach: Dirty Paper Coding. 8.4 A Simple 2 x 2 Example. 8.5 General Gaussian MIMO Broadcast Channels. 8.6 Coding with Side Information at the Transmitter. 8.7 Summary. References. Index.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.