Comparing particle swarm optimization variants for a cognitive radio network

被引：13

作者：

Martinez-Vargas, Anabel ^{[1
]}

Andrade, Angel G. ^{[1
]}

机构：

[1] Autonomous Univ Baja Calif UABC, MyDCI, Sch Engn, Mexicali, Baja California, Mexico

来源：

APPLIED SOFT COMPUTING | 2013年 / 13卷 / 02期

关键词：

Cognitive radio; Particle swarm optimization; Spectrum underlay; Dynamic spectrum access; SPECTRUM; ACCESS;

D O I：

10.1016/j.asoc.2012.10.016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is recognized that Static Spectrum Allocation Policy currently used in most countries has led to an inefficient use of spectrum. It means that available spectrum is underutilized over certain bands while in others remain scarce. In this context, Cognitive Radio technology is proposed to recycle bands in order to solve the problem of spectrum scarcity and use the limited spectrum resource as effectively as possible. This work presents the application and performance comparison of three variants of Particle Swarm Optimization (PSO) namely Binary Particle Swarm Optimization (BPSO), Socio Cognitive Particle Swarm Optimization (SCPSO) and Derivation 0 in a Cognitive Radio Network. We aim at maximizing the sum throughput for the number of secondary links that can be admitted in the Cognitive Radio Network in the presence of primary links under interference constraints. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：1222 / 1234

页数：13

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