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Improved Channel Allocation Scheme for Cognitive Radio Networks

Shahzad Latif1, Suhail Akraam2, Arif Jamal Malik3, Aaqif Afzaal Abbasi3, Muhammad Habib3, Sangsoon Lim4,*

1 Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (Islamabad Campus), Islamabad, 44000, Pakistan
2 Department of Computer Science, Arid Agriculture University (Burewala Campus), Vehari, 61040, Pakistan
3 Department of Software Engineering, Foundation University Islamabad, Islamabad, 44000, Pakistan
4 Department of Computer Engineering, Sungkyul University, Anyang, 430010, South Korea

* Corresponding Author: Sangsoon Lim. Email: email

Intelligent Automation & Soft Computing 2021, 27(1), 103-114. https://doi.org/10.32604/iasc.2021.014388

Abstract

In recent years, wireless channel optimization technologies witnessed tremendous improvements. In this regard, research for developing wireless spectrum for accommodating a wider range of wireless devices increased. This also helped in resolving spectrum scarcity issues. Cognitive Radio (CR) is a type of wireless communication in which a transceiver can intelligently detect which communication channels are being used. To avoid interference, it instantly moves traffic into vacant channels by avoiding the occupied ones. Cognitive Radio (CR) technology showed the potential to deal with the spectrum shortage problem. The spectrum assignment is often considered as a key research challenge in Cognitive Radio Networks (CRNs). In this paper, an evolutionary optimization algorithm is proposed for channel assignment in CRNs. Evolutionary algorithms are inspired by some type of biological evolution technique. In the proposed technology we used Particle Swarm Optimization (PSO). The resulting algorithm is called differential evolution-based particle swarm optimization with the repair process (DEPSO-RP). Moreover, a repair process is introduced to remove conflicts among secondary users (SUs) to increase the spectrum in CRNs. The performance of DEPSO-RP spectrum assignment algorithm has been evaluated by extensive simulations. The proposed spectrum assignment algorithm showed better performance regarding channel assignment in comparison with other existing algorithms in the literature.


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APA Style
Latif, S., Akraam, S., Malik, A.J., Abbasi, A.A., Habib, M. et al. (2021). Improved channel allocation scheme for cognitive radio networks. Intelligent Automation & Soft Computing, 27(1), 103-114. https://doi.org/10.32604/iasc.2021.014388
Vancouver Style
Latif S, Akraam S, Malik AJ, Abbasi AA, Habib M, Lim S. Improved channel allocation scheme for cognitive radio networks. Intell Automat Soft Comput . 2021;27(1):103-114 https://doi.org/10.32604/iasc.2021.014388
IEEE Style
S. Latif, S. Akraam, A.J. Malik, A.A. Abbasi, M. Habib, and S. Lim "Improved Channel Allocation Scheme for Cognitive Radio Networks," Intell. Automat. Soft Comput. , vol. 27, no. 1, pp. 103-114. 2021. https://doi.org/10.32604/iasc.2021.014388

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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