Efficacy of Decentralized CSS Clustering Model Over TWDP Fading Scenario

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Published: May 12, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i4s.6574
Keywords:
Cognitive Radio, Secondary user, Decentralized Co-operative Spectrum Sensing, Cluster head, detection probability, false-alarm probability

Main Article Content

Ankit D. Dobaria
Research Scholar, Electronics and Communication Engineering Department, Atmiya University, Rajkot, India
Vishal S. Vora
Associate Professor and Head, Electronics and Communication Engineering Department, Atmiya University, Rajkot, India

Abstract

Cognitive Radio technology, which lowers spectrum scarcity, is a rapidly growing wireless communication technology. CR technology detects spectrum holes or unlicensed spectrums which primary users are not using and assigns it to secondary users. The dependability of the spectrum-sensing approach is significantly impacted from two of the most critical aspects, namely fading channels and neighboring wireless users. Users of non-cooperative spectrum sensing devices face numerous difficulties, including multipath fading, masked terminals, and shadowing. This problem can be solved using a cooperative- spectrum-sensing technique. For the user, CSS enables them to detect the spectrum by using a common receiver. It has also been divided into distributed CSS and centralized CSS. This article compares both ideas by using a set of rules to find out whether a licensed user exists or not. This thought was previously used to the conventional fading channels, such as the Rician, Rayleigh and the nakagami-m models. This work focused on D-CSS using clustering approach over TWDP fading channel using two-phase hard decision algorithms with the help of OR rule as well as AND rule. The evaluation of the proposed approaches clearly depicted that the sack of achieve a detection-probability of greater than 0.8; the values SNR varies between -14 dB to -8 dB. For all two-phase hard decision algorithms using proposed approach and CSS techniques, the detection probability is essentially identical while the value of signal to noise ratio is between -12 dB to -8dB. Throughout this work, we assess performance of cluster-based cooperative spectrum-sensing over TWDP channel with the previous findings of AWGN, Rayleigh, and wei-bull fading channels. The obtained simulation results show that OR-AND decision scheme enhanced the performance of the detector for the considered range of signal to noise ratios.

Article Details

How to Cite
Dobaria, A. D. ., & Vora, V. S. . (2023). Efficacy of Decentralized CSS Clustering Model Over TWDP Fading Scenario. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4s), 317–324. https://doi.org/10.17762/ijritcc.v11i4s.6574
Issue
Vol. 11 No. 4s (2023)
Section
Articles

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