Cognitive Radio Engine Based on Real-Coded Firefly Algorithm

Cognitive radio is considered to be an intelligent device capable of ensuring an enhanced spectral efficiency, while satisfying the needs of the user in terms of quality of service, through making autonomous decisions adaptation to its dynamic environment in real time. In this paper, we propose firefly algorithm based on a real-coding, for the adaptation of the transmission parameters which has been formulated as a multi-objective optimization problem. The results obtained through a series of simulations demonstrate a clear superiority of our algorithms in terms of quality of solutions, speed of convergence and computation time compared to firefly algorithm based on a binary-coding.