IJERT-EMS
IJERT-EMS

Cognitive Radio Parameter Optimization and Adaptation using Genetic Algorithm


Cognitive Radio Parameter Optimization and Adaptation using Genetic Algorithm
Authors : Durgeshwar Singh, Aishvar Keshari, Raaziyah Shamim
Publication Date: 31-08-2016

Authors

Author(s):  Durgeshwar Singh, Aishvar Keshari, Raaziyah Shamim

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 5 - Issue. 09 , September - 2016

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV5IS090024

Abstract

Cognitive radio technology provides operational flexibility and adaptability of communication system according to the RF environment scenario. The main goal is to use the available resources-bandwidth, power, etc optimally in the radio network. In this paper, Genetic Algorithm is used for selection of optimal set of RF parameters for communication over a CR network. The chromosome structure comprises RF genes. Each gene is in the form of binary string, representing RF parameter. Genetic Algorithm is used to select the fittest set of RF parameters for optimal communication in a given RF environment. Fitness Measure parameter is used for evaluating the survival of each individual or chromosome.

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