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Optimization of Cognitive Radio System Using Simulated Annealing

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Abstract

Cognitive radio (CR) technology has introduced a revolution in wireless communication network and it is capable to operate in a continuously varying radio frequency environment that depends on multiple parameters. In this paper, optimization of CR system has been achieved using simulated annealing (SA) Technique. SA is a stochastic global optimization technique that exploits an analogy between the way in which a metal cools and freezes into a minimum energy crystalline structure. SA has been used to meet the quality of service (QoS) that is defined by the user in terms of minimum transmit power, minimum bit error rate, maximum throughput, minimum interference and maximum spectral efficiency. The results obtained by SA are compared with the genetic algorithm (GA) results for the various QoS parameters and it has been observed that SA is outperforming GA in CR system optimization.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology Jalandhar, Jalandhar, Punjab, India

    Kiranjot Kaur

  2. Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College Ludhiana, Ludhiana, Punjab, India

    Munish Rattan

  3. Department of Electronics and Communication Engineering, University College of Engineering, Punjabi University, Patiala, Punjab, India

    Manjeet Singh Patterh

Authors
  1. Kiranjot Kaur
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  2. Munish Rattan
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  3. Manjeet Singh Patterh
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Correspondence to Kiranjot Kaur.

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Kaur, K., Rattan, M. & Patterh, M.S. Optimization of Cognitive Radio System Using Simulated Annealing. Wireless Pers Commun 71, 1283–1296 (2013). https://doi.org/10.1007/s11277-012-0874-1

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  • DOI: https://doi.org/10.1007/s11277-012-0874-1

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