Particle Swarm Optimization Based Power Allocation in DF Cooperative Communications

被引：0

作者：

Bai, Zhiquan ^{[1
]}

Xu, Yinlong ^{[1
]}

Dong, Peihao ^{[1
]}

Gong, Peng ^{[2
]}

Kwak, Kyungsup ^{[3
]}

机构：

[1] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China

[2] Beijing Inst Technol, Natl Key Lab Mechatron Engn &b Control, Beijing, Peoples R China

[3] Inha Univ, Grad Sch Informat Technol & Telecommun, Incheon, South Korea

来源：

2013 FIFTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN) | 2013年

基金：

新加坡国家研究基金会; 美国国家科学基金会; 中国博士后科学基金;

关键词：

Power allocation; outrage probability; PSO; nonconvex problem; cooperative diversity; DIVERSITY; CHANNEL; SYSTEM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we investigate the power allocation scheme based on the particle swarm optimization (PSO) algorithm in wireless cooperative network, where the power allocation can be completed only with the average channel state information at the transmitters. With PSO algorithm, the nearoptimal solution could be obtained, which has lower complexity compared with the traditional exhaustive search method. The proposed scheme can minimize the outage probability subjected to a fixed total power constraint. Simulation results demonstrate that the PSO based power allocation scheme outperforms the equal power allocation scheme significantly.

引用

页码：316 / 320

页数：5

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