Optimization of Sensing Parameters Using PSO, GAAlgorithms for Cognitive Radio

Authors

  • JUTTU RAMESH Department of Electronics and Communication Engineering, NIT Jalandhar, Punjab, India
  • Ashish Raman Department of Electronics and Communication Engineering, NIT Jalandhar, Punjab, India

Abstract

Cognitive Radio (CR) is an emerging technology, which has the potential of being a disruptive technology, and will enable the future wireless world. In this radio, spectrum sensing is an appropriate tool to study surrounding environment in order to illustrate the suitable scenario for sharing spectrum between users.The main objective of spectrum sensingis to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. This paper discusses the optimization of sensing parameters in co-operative spectrum sensing using different newer nature inspired optimization algorithms, particle swarm optimization, genetic algorithm with or fusion rule scheme. While using particle swarm optimization, spectrum efficiency can be obtained upto 97.72 % of maximum efficiency but, in case of genetic algorithm it will reach up to 98.50 % with corresponding decrement of sensing time.  

Keywords: Cognitive radio, spectrum sensing, spectrum efficiency

Cite this Article

Ramesh J and Raman A. Optimization of Sensing Parameters Using PSO, GA Algorithms for Cognitive Radio.Recent Trends in Sensor Research and Technology. 2015; 2(3):23–30p.

Published

2015-12-22

Issue

Vol. 2 No. 3 (2015)

Section

Review Articles