Bio-inspired approaches for OFDM-based cognitive radio. Issue 2 (9th May 2019)

• Record Type: Journal Article
• Authors: Saoucha, Naziha Ali; Benmammar, Badr
• Is Part Of: International journal of internet protocol technology. Volume 12:Issue 2(2019)
• Page Start: 61
• Page End: 75
• Publication Date: 2019-05-09
• Subjects: cognitive radio -- orthogonal frequency division multiplexing -- OFDM -- quality of service -- QoS -- interference -- firefly -- bat -- cuckoo -- particle swarm optimisation -- PSO -- genetic algorithm -- GA -- binary; File Transfer Protocol (Computer network protocol) -- Periodicals; Multicasting (Computer networks) -- Periodicals; 004.678
• Languages: English
• ISSNs: 1743-8209

Abstract

Link adaptation algorithms design for OFDM-based cognitive radio networks is a challenging task. The main concern is to provide a high quality of service for the secondary user while the mutual interference between this last and the primary user persists within a tolerable range. This issue can be formulated as a multiobjective optimisation constraint problem. To tackle this optimisation problem in a multiobjective constraint framework, in this paper we exploit three of the most recent powerful bio-inspired algorithms: firefly, bat, and cuckoo search. Simulation results revealed that, in contrast to the classical genetic algorithm and particle swarm optimisation-based link adaptation, our proposed algorithms exhibit better performance in terms of convergence speed and solution quality with saving rates reaching over 98.93% and 46.60%, respectively.