Honig M.L. (ed.) Advances in Multiuser Detection

Издательство IEEE/John Wiley, 2009, -518 pp.The proliferation of telecommunications systems and services over the past couple of decades has been accompanied by numerous advances in physical layer communications and associated signal processing techniques. Many of these services have in fact been enabled by the increase in spectral efficiency provided by improved modulation, coding, and reception capability. Furthermore, the evolution of communications networks continues to stimulate efforts to push the performance and reliability of these networks to their fundamental limits.
For the most part, many of the recent advances in signal processing methods for communications have been motivated by the evolution of mobile cellular systems, i.e., from first-generation analog systems, introduced in the 1980s, to next (fourth)- generation systems currently being designed. Additional motivation has been provided by other wireless systems and standards, such as wireless local and metropolitan area networks, and also the desire to provide broadband services over existing copper subscriber lines in the telephone network. Although wired channels, such as subscriber lines, do not experience the time variations in received signal strength associated with mobile cellular channels, other challenges remain, such as overcoming frequency-selectivity and efficient spectrum sharing among multiple users with different channel characteristics.
This book reviews recent advances in multiuser detection, which generally refers to methods for detecting digital data associated with multiple interfering signals. These advances comprise some of the signal processing techniques just mentioned, and have been an active area of research and development over the past couple of decades. In the title of this book, recent generally refers to advances made over the past ten years, i.e., since the publication of the first book on multiuser detection [87]. Except for the first chapter, which gives a general introduction and overview, each of the eight chapters is contributed by a different set of authors, and is meant to be a self-contained discussion of a particular topic. Namely, Chapter 2 discusses iterative techniques for combined multiuser detection and decoding of error control codes; Chapter 3 dicusses multiuser detection in the presence of linear channel impairments, such multipath and intersymbol interference; Chapters 4 and 5 present performance analysis of multiuser detection methods with random signatures and channels; Chapter 6 discusses the application of joint detection methods to Multi-Input/Multi-Output (MIMO) channels, corresponding to wireless links with multiple antennas at the transmitter and/or receiver; Chapter 7 discusses interference avoidance methods at the transmitter (i.e., through the choice of signatures assuming spread spectrum signaling); and Chapter 8 discusses transmitter precoding methods for the MIMO downlink (broadcast channel). A more detailed overview of the chapters is given at the end of Chapter 1.
These topics represent a sampling of major advances that have been made in multiuser detection over the past ten years. Because this research area has been quite active, comprehensive coverage of recent progress would be quite difficult. This book therefore serves as an entry point for exploring ongoing research in multiuser detection and for learning about existing unsolved problems and issues. The intended audience is therefore graduate students in communications, as well as practicing engineers and researchers who are familiar with digital communications at the level of [87] and [60], and wish to gain a deeper understanding of multiuser detection techniques. This area continues to progress and it is our hope that these contributions will stimulate further advances.Overview of Multiuser Detection.
Iterative Techniques.
Blind Multiuser Detection in Fading Channels.
Performance with Random Signatures.
Generic Multiuser Detection and Statistical Physics.
Joint Detection for Multi-Antenna Channels.
Interference Avoidance for CDMA Systems.
Capacity-Approaching Multiuser Communications Over Multiple Input/Multiple Output Broadcast Channels.