Overview

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees. Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity.

Full Product Details

Author:   Ian C. Wong ,  Brian Evans
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2008
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441945228

ISBN 10:   1441945229
Pages:   122
Publication Date:   04 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Next Generation Wireless Communication Systems.- Orthogonal Frequency Division Multiple Access.- A New Approach to OFDMA Resource Allocation.- System Model.- Continuous Rate Maximization with perfect CSI and CDI.- Discrete Rate Maximization with perfect CSI and CDI.- Numerical Results.- Partial Channel State Information Model.- Continuous Rate Maximization with Partial CSI and CDI.- Discrete Rate Maximization with Partial CSI and CDI.- Proportional Rate Maximization with Perfect CSI and CDI.- Adaptive Algorithms for Rate Maximization without CDI.- Summary.- Future Work.- Derivations.

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