A Genetic Algorithm for Multiple Relay Selection in Two-Way Relaying Cognitive Radio Networks

Bibliography:

A. M. Sharoa, H. Ghazzai, and M. -S. Alouini, A genetic algorithm for multiple relay selection in two-way relaying cognitive radio networks, Proceedings IEEE Vehicular Technology Conference (VTC Fall'2013), Las Vegas, Nevada, USA, September 2013

Authors:

A. M. Sharoa, H. Ghazzai, and M. -S. Alouini

Keywords:

Cooperative cognitive radio network, two-way relaying, genetic algorithm

Year:

2013

Abstract:

In this paper, we investigate a multiple relay selection scheme for two-way relaying cognitive radio networks where primary users and secondary users operate on the same frequency band. More specifically, cooperative relays using Amplify-and-Forward (AF) protocol are optimally selected to maximize the sum rate of the secondary users without degrading the Quality of Service (QoS) of the primary users by respecting a tolerated interference threshold. A strong optimization tool based on genetic algorithm is employed to solve our formulated optimization problem where discrete relay power levels are considered. Our simulation results show that the practical heuristic approach achieves almost the same performance of the optimal multiple relay selection scheme either with discrete or continuous power distributions.

ISSN:

2013

http://sri-uq.kaust.edu.sa/Documents/pdf%20publications/AlSharoa_et_al_VTC2013.pdf