Research Article | OPEN ACCESS
Genetic Algorithm-Based Approach to Spectrum Allocation and Power Control with Constraints in Cognitive Radio Networks
Latifa Boumediene, Zhenguo Gao , Sheng Liu , Said Leghmizi and Rui Yang
College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, China
Research Journal of Applied Sciences, Engineering and Technology 2013 1:100-107
Received: March 26, 2012 | Accepted: April 17, 2012 | Published: January 01, 2013
Abstract
This study presents a genetic algorithm for spectrum allocation and power control, both with constraints, in cognitive radio networks. The models for spectrum allocation and power control with constraints are formulated in a partially distributed manner, then the scheme based on genetic algorithms is presented. Simulation results demonstrate that the proposed genetic algorithm-based scheme is efficient for spectrum allocation and power control in cognitive radio networks.
Keywords:
Cognitive radio networks, genetic algorithm, power control, spectrum allocation,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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