Average Reviews:
(More customer reviews)I like this book because it frames multiuser detection in a linear algebraic setting, emphasising the connections between PIC (parallel interference cancellation) and SIC (successive interference cancellation) and the Jacobi and Gauss-Seidel iterative methods for solving linear systems. So if you know a little numerical linear algebra and are interested in multiuser detection, then you'll like this book. I like it a lot and have learnt a lot from it.
It really seems incredible that other than papers (these authors and also Rasmussen and others) there are very few sources to read which use this setting for the MUD problem. But then, maybe I just see all signal processing problems as problems of applied mathematics and do not appreciate the extra difficulties of implementing sophisticated algorithms in hardware to run in real-time. (I appreciate the difficulties a fair amount, but still like the matrix-vector approach.)
Two thumbs up (and strangely one of the authors is an Aussie, vying with Anderson and Moore (authors of Optimal Filtering) and The Wiggles (see "Toot Toot, Chugga chugga, Big Red Car", one of my daughter's favourites) for the title of World's Greatest Living Aussie).
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Coordinated Multiuser Communications provides for the first time a unified treatment of multiuser detection and multiuser decoding in a single volume.Many communications systems, such as cellular mobile radio and wireless local area networks, are subject to multiple-access interference, caused by a multitude of users sharing a common transmission medium. The performance of receiver systems in such cases can be greatly improved by the application of joint detection and decoding methods. Multiuser detection and decoding not only improve system reliability and capacity, they also simplify the problem of resource allocation.Coordinated Multiuser Communications provides the reader with tools for the design and analysis of joint detection and joint decoding methods. These methods are developed within a unified framework of linear multiple-access channels, which includes code-division multiple-access, multiple antenna channels and orthogonal frequency division multiple access.Emphasis is placed on practical implementation aspects and modern iterative processing techniques for systems both with, and without integrated error control coding.Focusing on the theory and practice of unifying accessing and transmission aspects of communications, this book is a valuable reference for students, researchers and practicing engineers.
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