Bat Algorithm based Optimization of a Multiuser Cognitive Radio System over Nakagami- m Fading Channels

Optimization of an ideal cognitive radio system(without channel impairments) with single secondary user has been successfully carried in past by other and current authors. This communication is a detailed extension to it, in which optimization of a multiuser cognitive radio system in a dynamic fading environment, specifically Nakagami-m fading has been introduced. The fitness functions have been modified to include the fading effects. Bat algorithm is then applied to optimize the transmission parameters of multiple secondary users. IEEE 802.22 WRAN standard has been followed to decide the range of all these parameters. Results obtained by Bat algorithm are compared with the onesprocured by GA, SA and BBO to show Bat algorithm’s upper hand in cognitive radio optimization.