Cognitive radio networks spectrum allocation: An ACS perspective

被引：27
作者：
Koroupi, F. [2 ]
Talebi, S. [1 ,3 ]
Salehinejad, H. [3 ]
机构：
[1] Sharif Univ Technol, Adv Commun Res Inst, Tehran, Iran
[2] Islamic Azad Univ, Dept Comp Engn, Sirjan Branch, Sirjan, Iran
[3] Shahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, Iran
来源：
SCIENTIA IRANICA | 2012年 / 19卷 / 03期
关键词：
Ant colony system; Cognitive radio networks; Graph coloring problem; Spectrum assignment; FREQUENCY-ASSIGNMENT; ALGORITHM; FAIRNESS;
D O I：
10.1016/j.scient.2011.04.029
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Cognitive Radio (CR) is a promised solution to the lack of spectrum, as well as spectrum inefficiency, in current communication networks. A major demand of this technology is for fair spectrum assignment to unlicensed (secondary) users. This paper addresses a new approach to this challenge in CR networks, based on the Graph Coloring Problem (GCP) and the Ant Colony System (ACS). In addition, we compare the performance of the proposed algorithm with Color Sensitive Graph Coloring (CSGC) and Particle Swarm Optimization (PSO) based techniques. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
引用
收藏
页码：767 / 773
页数：7
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