Cognitive radio spectrum allocation using evolutionary algorithms

Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. In this letter, spectrum allocation model is presented firstly, and then spectrum allocation methods based on genetic algorithm (GA), quantum genetic algorithm (QGA), and particle swarm optimiz...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 8; no. 9; pp. 4421 - 4425
Main Authors:	Zhao, Zhijin, Peng, Zhen, Zheng, Shilian, Shang, Junna
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.09.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Allocations Applied sciences Biological cells Channels Chromosome mapping Cognitive radio Evolutionary computation Exact sciences and technology Genetic algorithms Interference constraints Mathematical models Optimization Organization, operation and development plans Particle swarm optimization Quantum computing quantum genetic algorithm Radio Radiocommunication specific techniques Radiocommunications Searching Space technology spectrum allocation Telecommunications Telecommunications and information theory Availability Performance evaluation Evolutionary algorithm Frequency allocation Mapping genetic algorithms Cognitive radio Particle swarm optimization quantum genetic algorithm Biomimetics Genetic algorithm spectrum allocation Channel allocation Graph colouring Radio spectrum Software radio
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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