Performance Analysis of Co-Operative Spectrum Sensing Using Optimization in Cognitive Radio

Payal Mishra*, K. Neelam Dewangan**
* PG Scholar, Department of Electronics & Telecommunication, Chhatrapati Shivaji Institute of Technology, Durg, India.
** Assistant Professor, Department of Information Technology, Chhatrapati Shivaji Institute of Technology, Durg, India.
Periodicity:November - January'2016
DOI : https://doi.org/10.26634/jcs.5.1.4857

Abstract

A cognitive radio system is a mechanism which allows unlicensed (cognitive) user to utilize free bands. Cognitive users detect the presence of such free bands and energy detection which is highly regarded as a prospective technique for this spectrum sensing task. The main aim is to optimize the detection performance in an efficient and implementable way and to reduce the probability of error, which mainly occurs in the wireless channel. The analysis is done under the Rayleigh fading channel. However, there exist two kinds of detection errors (i.e., miss-detection error and false-alarm error), which degrade the sensing performance severely. To overcome the entire problems in the cognitive radio network, the authors need to use an optimization algorithm, which gives the satisfactory result in the given environment. Due to its simplicity and its multi handling capabilities, Genetic Algorithm(GA) is used. The result is compared with Conventional Energy Detector and it is evident from the comparison that, GA finds better solution to the given problem.

Keywords

Cognitive Radio, Centralized Spectrum Sensing, Energy Detection, Genetic Algorithm, Probabilities of Total Error

How to Cite this Article?

Mishra, P., and Dewangan, N. (2016). Performance Analysis of Co-Operative Spectrum Sensing Using Optimization in Cognitive Radio. i-manager’s Journal on Communication Engineering and Systems, 5(1), 1-6. https://doi.org/10.26634/jcs.5.1.4857

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