Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm

Authors

  • Subhajit Chatterjee University of Engineering & Management image/svg+xml
  • Swaham Dutta Reliance Jio Infocomm Ltd., Big Data Analysis, Mumbai, Maharashtra, India
  • Partha Pratim Bhattacharya Mody University of Science and Technology image/svg+xml
  • Jibendu Sekhar Roy KIIT University image/svg+xml

DOI:

https://doi.org/10.26636/jtit.2017.1.646

Keywords:

adaptive genetic algorithm, bandwidth, cognitive radio, spectrum sensing, throughput

Abstract

Quality of service parameters of cognitive radio, like, bandwidth, throughput and spectral efficiency are optimized using adaptive and demand based genetic algorithm. Simulation results show that the proposed method gives better real life solution to the cognitive radio network than other known approach.

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Submitted

2023-06-18

Published

2017-03-30

Issue

No. 1 (2017)

Section

ARTICLES FROM THIS ISSUE

License

Copyright (c) 2017 Journal of Telecommunications and Information Technology

Creative Commons License

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

How to Cite

[1]
S. Chatterjee, S. Dutta, P. P. Bhattacharya, and J. S. Roy, “Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm”, JTIT, vol. 67, no. 1, pp. 21–27, Mar. 2017, doi: 10.26636/jtit.2017.1.646.

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