Pareto Optimal Power Control via Bisection Searching in Wireless Networks

被引：12
|
作者：
Qian, Li Ping [1 ]
Wu, Yuan [2 ]
Zhang, Shengli [3 ]
Chen, Qingzhang [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[3] Shenzhen Univ, Coll Informat Engn, Shenzhen 518061, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2013年 / 17卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Power control; Pareto optimality; quasi-concave optimization; bisection searching algorithm; CDMA SYSTEMS; CELLULAR-SYSTEMS; ASSIGNMENT; CONVEXITY; EFFICIENT; REGIONS; SCHEME; UPLINK;
D O I：
10.1109/LCOMM.2013.022213.130051
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, we first prove that the upper boundary of the feasible signal to interference-plus-noise ratio (SINR) region achieved by power control is Pareto optimal under the constraints of minimum SINR requirements and limited power. Thanks to the Pareto optimal nature, we further propose a bisection searching based low-complexity algorithm that achieves arbitrary Pareto optimal power control over the entire feasible SINR region. More importantly, we can easily approach the upper boundary of the feasible SINR region through the proposed algorithm.
引用
收藏
页码：709 / 712
页数：4
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