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

Conference: International Conference on Soft Computing Applications in Wireless Communication
Author(s): Kiranjot Kaur, Munish Rattan, Manjeet Singh Patterh Year: 2017
Grenze ID: 02.SCAWC.2017.1.10 Page: 43-50


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


SCAWC - 2017