Coordinated Multiuser Communications

By: Christian Schlegel, Alex Grant

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Hardcover | 22 March 2006

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Hardcover
292 Pages

Dimensions(cm)
23.39 x 15.6 x 1.75

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$187.31

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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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List of Figures	p. xi
List of Tables	p. xvii
Preface	p. xix
Introduction	p. 1
The Dawn of Digital Communications	p. 1
Multiple Terminal Networks	p. 3
Multiple-Access Channel	p. 6
Degrees of Coordination	p. 7
Transmitter and Receiver Cooperation	p. 7
Synchronization	p. 9
Fixed Allocation Schemes	p. 9
Network vs. Signal Processing Complexity	p. 10
Future Directions	p. 11
Linear Multiple-Access	p. 13
Continuous Time Model	p. 14
Discrete Time Model	p. 17
Matrix-Algebraic Representation	p. 18
Symbol Synchronous Model	p. 21
Principles of Detection	p. 22
Sufficient Statistics and Matched Filters	p. 24
The Correlation Matrix	p. 25
Single-User Matched Filter Detector	p. 27
Optimal Detection	p. 29
Individually Optimal Detection	p. 30
Access Strategies	p. 31
Time and Frequency Division Multiple-Access	p. 31
Direct-Sequence Code Division Multiple Access	p. 32
Narrow Band Multiple-Access	p. 36
Multiple Antenna Channels	p. 37
Cellular Networks	p. 39
Satellite Spot-Beams Channels	p. 41
Sequence Design	p. 42
Orthogonal and Unitary Sequences	p. 42
Hadamard Sequences	p. 43
Multiuser Information Theory	p. 45
Introduction	p. 45
The Multiple-Access Channel	p. 46
Probabilistic Channel Model	p. 46
The Capacity Region	p. 48
Binary-Input Channels	p. 54
Binary Adder Channel	p. 54
Binary Multiplier Channel	p. 59
Gaussian Multiple-Access Channels	p. 59
Scalar Gaussian Multiple-Access Channel	p. 59
Code-Division Multiple-Access	p. 63
Multiple-Access Codes	p. 73
Block Codes	p. 75
Convolutional and Trellis Codes	p. 81
Superposition and Layering	p. 81
Feedback	p. 84
Asynchronous Channels	p. 90
Multiuser Detection	p. 97
Introduction	p. 97
Optimal Detection	p. 100
Jointly Optimal Detection	p. 100
Individually Optimal Detection: APP Detection	p. 107
Performance Bounds - The Minimum Distance	p. 109
Sub-Exponential Complexity Signature Sequences	p. 112
Signal Layering	p. 115
Correlation Detection - Matched Filtering	p. 118
Decorrelation	p. 119
Error Probabilities and Geometry	p. 120
The Decorrelator with Random Spreading Codes	p. 122
Minimum-Mean Square Error (MMSE) Filter	p. 124
Error Performance of the MMSE	p. 126
The MMSE Receiver with Random Spreading Codes	p. 127
Whitening Filters	p. 128
Whitening Filter for the Asynchronous Channel	p. 132
Different Received Power Levels	p. 134
The Matched Filter Detector	p. 134
The MMSE Filter Detector	p. 135
Implementation of Multiuser Detectors	p. 139
Iterative Filter Implementation	p. 139
Multistage Receivers	p. 139
Iterative Matrix Solution Methods	p. 142
Jacobi Iteration and Parallel Cancellation Methods	p. 143
Stationary Iterative Methods	p. 147
Successive Relaxation and Serial Cancellation Methods	p. 148
Performance of Iterative Multistage Filters	p. 151
Approximate Maximum Likelihood	p. 158
Monotonic Metrics via the QR-Decomposition	p. 159
Tree-Search Methods	p. 161
Lattice Methods	p. 164
Approximate APP Computation	p. 170
List Sphere Detector	p. 171
Modified Geometry List Sphere Detector	p. 172
Other Approaches	p. 172
Joint Multiuser Decoding	p. 175
Introduction	p. 175
Single-User Decoding	p. 179
The Projection Receiver (PR)	p. 179
PR Receiver Geometry and Metric Generation	p. 182
Performance of the Projection Receiver	p. 185
Iterative Decoding	p. 192
Signal Cancellation	p. 194
Convergence - Variance Transfer Analysis	p. 195
Simple FEC Codes - Good Codeword Estimators	p. 202
Filters in the Loop	p. 209
Per-User MMSE Filters	p. 209
Low-Complexity Iterative Loop Filters	p. 214
Examples and Comparisons	p. 217
Asymmetric Operating Conditions	p. 219
Unequal Received Power Levels	p. 220
Optimal Power Profiles	p. 222
Unequal Rate Distributions	p. 228
Finite Numbers of Power Groups	p. 232
Proof of Lemma 6.7	p. 234
Estimation and Detection	p. 237
Bayesian Estimation and Detection	p. 237
Sufficiency	p. 239
Linear Cost	p. 241
Quadratic Cost	p. 242
Minimum Mean Squared Error	p. 242
Cramer-Rao Inequality	p. 243
Jointly Gaussian Model	p. 244
Linear MMSE Estimation	p. 245
Hamming Cost	p. 245
Minimum probability of Error	p. 246
Relation to the MMSE Estimator	p. 246
Maximum Likelihood Estimation	p. 246
References	p. 249
Author Index	p. 261
Subject Index	p. 265
Table of Contents provided by Ingram. All Rights Reserved.

Coordinated Multiuser Communications

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