Coordinated Multiuser Communications 1st Edition by Christian Schlegel, Alex Grant ISBN 140204075X 9781402040757

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Product details:

ISBN 10: 140204075X

ISBN 13: 9781402040757 

Author: Christian Schlegel, Alex Grant

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.

Table of contents:

Chapter 1. Introduction
The Dawn of Digital Communications
Multiple Terminal Networks
Multiple-Access Channel
Degrees of Coordination
Network vs. Signal Processing Complexity
Future Directions

Chapter 2. Linear Multiple-Access
Continuous Time Model
Discrete Time Model
Matrix-Algebraic Representation
Symbol Synchronous Model
Principles of Detection
Access Strategies
Sequence Design

Chapter 3. Multiuser Information Theory
Introduction
The Multiple-Access Channel
Binary-Input Channels
Gaussian Multiple-Access Channels
Multiple-Access Codes
Superposition and Layering
Feedback
Asynchronous Channels

Chapter 4. Multiuser Detection
Introduction
Optimal Detection
Sub-Exponential Complexity Signature Sequences
Signal Layering
Different Received Power Levels

Chapter 5. Implementation of Multiuser Detectors
Iterative Filter Implementation
Approximate Maximum Likelihood
Approximate APP Computation
List Sphere Detector

Chapter 6. Joint Multiuser Decoding
Introduction
Single-User Decoding
Iterative Decoding
Filters in the Loop
Asymmetric Operating Conditions
Proof of Lemma

Chapter 7. Estimation and Detection
Bayesian Estimation and Detection
Sufficiency
Linear Cost
Quadratic Cost
Minimum Mean Squared Error
Cramér–Rao Inequality
Jointly Gaussian Model
Linear MMSE Estimation
Hamming Cost
Minimum Probability of Error
Relation to the MMSE Estimator
Maximum Likelihood Estimation

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Tags: Christian Schlegel, Alex Grant, Coordinated, Multiuser, Communications