This book 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. All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms in the software of their choice. This book is an accessible reference for researchers and industry practitioners alike.
Author(s): Ian C. Wong, Brian Evans
Edition: 1
Publisher: Springer
Year: 2007
Language: English
Pages: 140
cover......Page 1
Preface......Page 5
Contents......Page 6
1 Introduction......Page 13
2 Background......Page 29
3 W eighted-sum rate Maximization with PerfectCSI......Page 43
4 W eighted-Sum Rate Maximization with Partial CSI......Page 71
5 Rate Maximization with Proportional Rate Constraints......Page 91
6 Conclusion......Page 107
A Derivation of the inverse function......Page 113
B Proof of Prop.3.1......Page 114
C Derivation of 3.35......Page 115
D Derivation of the cdf 3.39 and pdf 3.40......Page 116
E Derivation of 4.30......Page 118
References......Page 119
Index......Page 125
Eagle Hill......Page 8
