Iterative water-filling for Gaussian vector multiple-access channels

被引：617
|
作者：
Yu, W [1 ]
Rhee, WJ
Boyd, S
Cioffi, JM
机构：
[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
[2] ArryComm Inc, San Jose, CA 95131 USA
[3] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
来源：
IEEE TRANSACTIONS ON INFORMATION THEORY | 2004年 / 50卷 / 01期
基金：
美国国家科学基金会;
关键词：
channel capacity; convex optimization; Gaussian channels; multiuser channels; multiple-access channels; multiple-access communications; multiple-antenna systems; optimization methods; power control; water-filling;
D O I：
10.1109/TIT.2003.821988
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This correspondence proposes an efficient numerical algorithm to compute the optimal input distribution that maximizes the sum capacity of a Gaussian multiple-access channel with vector inputs and a vector output. The numerical algorithm has an iterative water-filling interpretation. The algorithm converges from any starting point, and it reaches within 1/2 nats per user per output dimension from the sum capacity after just one iteration. The characterization of sum capacity also allows an upper bound and a lower bound for the entire capacity region to be derived.
引用
收藏
页码：145 / 152
页数：8
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