Implementation of Particle Swarm Optimization Technique for Spectrum Sensing in Cognitive Radio Network

Roopali Garg; Nitin Saluja

doi:10.15866/irecap.v8i5.12822

Implementation of Particle Swarm Optimization Technique for Spectrum Sensing in Cognitive Radio Network

Roopali Garg^(1*), Nitin Saluja⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irecap.v8i5.12822

Abstract

The scarcity of spectrum can be overcome by using the spectrum efficiently and effectively. There is a need for devising techniques that can help in sensing the spectrum judiciously so that the Secondary Users can optimally access the spectrum holes. This will support higher transmission of data, thereby enhancing the throughput. Further, the presence of Primary Users should be detected accurately in order to avoid interference. The sensing-throughput trade-off problem of spectrum sensing stage of cognitive radios can be optimized by means of computational intelligence techniques like swarm intelligence. This paper implements Particle Swarm Optimization technique to optimize Throughput, Probability of false alarm and sensing time under varying Signal-to-Noise Ratio conditions. It has been studied that bigger swarm-size does not improve the results, but takes longer processing time.
Copyright © 2018 Praise Worthy Prize - All rights reserved.

Keywords

Cognitive Radio (CR); Cognitive Radio Network (CRN); Particle Swarm optimization (PSO); Secondary User (SU); Sensing Time; Signal-to-Noise Ratio (SNR); Throughput

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