APSO-BASED APPROACH FOR OPTIMAL ENERGY DETECTION IN COGNITIVE RADIO NETWORKS

Authors

  • Kolawole Samuel Farayola Department of Electrical/Electronic Engineering, Nigerian Defence Academy Kaduna, Kaduna State-Nigeria
  • Hussain Ganiyu Abiodun Department of Electrical/Electronic Engineering, Nigerian Defence Academy Kaduna, Kaduna State-Nigeria

Keywords:

Cognitive Radio, PSO, AWGN, Probability of detection, Probability of false alarm

Abstract

The sensing techniques that used in earlier literature suffered from the problem of poor probability of detection under fading channel, as a result it affects the sensing performance at low signal-to-noise ratio. A Particle Swamp Optimization (PSO)-based Optimal energy detection for cooperative spectrum sensing has been utilized in this work to increase the probability of detection under Additive
White Gaussian Noise (AWGN) channel and Rayleigh channel. Results obtained using MATLABR2017 as howeda22% increase in the probability of detection with direct link and 18% increase with without direct link.

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Published

2022-04-27

How to Cite

Kolawole Samuel Farayola, & Hussain Ganiyu Abiodun. (2022). APSO-BASED APPROACH FOR OPTIMAL ENERGY DETECTION IN COGNITIVE RADIO NETWORKS. Academy Journal of Science and Engineering, 13(1), 67–79. Retrieved from https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/62

Issue

Vol. 13 No. 1 (2019): Academy Journal of Science and Engineering (AJSE)

Section

Articles

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