Adapting radio resources in multicarrier cognitive radio using discrete firefly approach
by Naziha Ali Saoucha; Badr Benmammar
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 13, No. 1, 2017

Abstract: The user resource allocation has attracted research attention in the context of the Cognitive Radio (CR) paradigm. Aiming at fully exploiting the frequency band unused by the primary users, it enables the secondary users to tune their transmission parameters and communicate within this band with a good Quality of Service (QoS). This paper targets the issue of radio resource adaptation according to the priority and the needs of the active users, the channel state and the availability of the frequency, in multicarrier transmission. The adaptation of such resources has been previously investigated and Particle Swarm Optimisation (PSO) and Cross Entropy (CE) approaches were shown to outperform their counterparts in terms of the convergence rate and the quality of the solution. Motivated by the great promises held by the newly proposed firefly approach, we have adapted its application as a multi-objective approach to optimise the communication quality of secondary users in a multicarrier system. The performance superiority of the proposed approach over PSO and CE techniques is assessed in terms of convergence speed, quality of solution and stability.

Online publication date: Fri, 13-Oct-2017

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