Cognitive radio networks spectrum allocation: An ACS perspective | Zendy

Farokh Koroupi | Zendy; Siamak Talebi | Zendy; Hojjat Salehinejad | Zendy

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Cognitive radio networks spectrum allocation: An ACS perspective

Author(s) -

Farokh Koroupi,

Siamak Talebi,

Hojjat Salehinejad

Publication year - 2012

Publication title -

scientia iranica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.299

H-Index - 51

eISSN - 2345-3605

pISSN - 1026-3098

DOI - 10.1016/j.scient.2011.04.029

Subject(s) - cognitive radio , frequency allocation , graph coloring , inefficiency , particle swarm optimization , computer science , spectrum (functional analysis) , perspective (graphical) , ant colony optimization algorithms , graph , mathematical optimization , computer network , distributed computing , theoretical computer science , telecommunications , artificial intelligence , algorithm , mathematics , wireless , microeconomics , economics , physics , quantum mechanics

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

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