Coordinated Multiuser Communications

ISBN-13: 9781402040740 / Angielski / Twarda / 2006 / 270 str.

Christian Schlegel; Alex Grant; C. Schlegel

Opis

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.

Spis treści

1. Introduction. 1.1. The Dawn of Digital Communications. 1.2. Multiple Terminal Networks. 1.3. Multiple-Access Channel. 1.4. Degrees of Coordination. 1.5. Network vs. Signal Processing Complexity. 1.6. Future Directions. 2. Linear Multiple-Access. 2.1 Continuous Time Model. 2.2. Discrete Time Model. 2.3. Matrix-Algebraic Representation. 2.4. Symbol Synchronous Model. 2.5. Principles of Detection. 2.6. Access Strategies. 2.7. Sequence Design. 3. Multiuser Information Theory. 3.1 Introduction. 3.2. The Multiple-Access Channel. 3.3. Binary-Input Channels. 3.4. Gaussian Multiple-Access Channels. 3.5. Multiple-Access Codes. 3.6. Superposition and Layering. 3.7. Feedback. 3.8. Asynchronous Channels. 4. Multiuser Detection. 4.1. Introduction. 4.2. Optimal Detection. 4.3. Sub-Exponential Complexity Signature Sequences. 4.4. Signal Layering. 4.5. Different Received Power Levels. 5. Implementation of Multiuser Detectors. 5.1. Iterative Filter Implementation. 5.2. Approximate Maximum Likelihood. 5.3. Approximate APP Computation. 5.4. List Sphere Detector. 6. Joint Multiuser Decoding. 6.1. Introduction. 6.2. Single-User Decoding. 6.3. Iterative Decoding. 6.4 Filters in the Loop. 6.5. Asymmetric Operating Conditions. 6.6. Proof of Lemma 6.7. A. Estimation and Detection. A.1. Bayesian Estimation and Detection. A.2. Sufficiency. A.3. Linear Cost. A.4. Quadratic Cost. A.4.1. Minimum Mean Squared Error. A.4.2. Cramér-Rao Inequality. A.4.3. Jointly Gaussian Model. A.4.4. Linear MMSE Estimation. A.5. Hamming Cost. A.5.1. Minimum probability of Error. A.5.2. Relation to the MMSE Estimator. A.5.3. Maximum Likelihood Estimation. References. Author Index. Subject Index.

O autorze

Christian B. Schlegel, PhD, received the Dipl El Ing ETH degree from the Swiss Federal Institute of Technology, Zurich, in 1984, and the MS and doctorate degrees in Electrical Engineering from the University of Notre Dame, South Bend, Indiana, in 1986 and 1989, respectively. Currently, he is iCORE Professor of Digital Communications at the University of Alberta, Canada.