Nakagami-m Fading Affected Multiuser Cognitive Radio System Design Using Moth Flame Optimization

Abstract

Moth flame optimization (MFO), a novel natural surrounding based optimization technique, whose main character is the moth, from the family of butterflies. A special navigation system known as transverse orientation, used by moths to fly in the moon night, is the main inspiration behind this technique. This paper introduces the employment of MFO to a novel cognitive radio system for its optimal designing. A multiple secondary user cognitive radio system whose channels is affected by Nakagami-m fading and is working on IEEE802.22 WRAN standard is considered. Five different objectives to meet the aspired QoS defined by user are laid down. Their Fitness functions are modified to include fading. Then MFO is applied to them for optimizing the transmission parameters. Optimized results obtained by MFO are compared with the present literature including biogeography based optimization, genetic algorithm and simulated annealing to validate its effectiveness in cognitive radio systems. A non-parametric statistical testing is also conducted to further authenticate the implementation of MFO over cognitive radio problem. Hence MFO has emerged as a capable candidate for designing an efficient cognitive radio engine.