International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 8  (August 2017), Pages:  160-166

Title: Channel assignment using differential evolution algorithm in cognitive radio networks

Author(s):  Shahzad Latif 1, 2, *, Suhail Akraam 1, Muhammad Aamer Saleem 3


1School of Engineering and Applied Sciences, ISRA University, Islamabad, Pakistan
2School of Engineering and Applied Sciences, SZABIST, Islamabad, Pakistan
3Hamdard Institute of Engineering and Technology, Hamdard University, Islamabad, Pakistan

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The emerging wireless applications have increased the demand of wireless spectrum significantly. Present spectrum assignment is static, due to which problem of spectrum scarcity has been raised. Cognitive Radio (CR) is a promising technology to deal with spectrum scarcity problem, which uses dynamic spectrum allocation to utilize the vacant spectrum. The CR intelligently scans the spectrum in its vicinity and search the vacant spectrum. The optimization of available spectrum is important research challenge in cognitive radio networks (CRNs). In this research work, we have optimized the spectrum utility of SUs using Differential Evolution (DE) algorithm in order to reduce the interference incurs to primary users (PUs) and as well as among the secondary users (SUs). Moreover, the results are compared with other evolutionary channel assignment algorithms like Fuzzy Logic Ant Colony System (FLACS) and Color Sensitive Graph Coding Method (CSGC). It has been observed that the results of proposed algorithms can further enhance the spectrum utility in CRNs in comparison to FLACS and CSGC. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Cognitive radio networks, Differential evolution algorithm, Channel assignment, Optimization

Article History: Received 7 May 2017, Received in revised form 20 July 2017, Accepted 25 July 2017

Digital Object Identifier:


Latif S, Akraam S, and MAS (2017). Channel assignment using differential evolution algorithm in cognitive radio networks. International Journal of Advanced and Applied Sciences, 4(8): 160-166


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