A Genetic Algorithm for Multiple Relay Selection in Two-Way Relaying Cognitive Radio Networks
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 Amplifyand- 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.
A. Alsharoa et al., "A Genetic Algorithm for Multiple Relay Selection in Two-Way Relaying Cognitive Radio Networks," Proceedings of the 78th Vehicular Technology Conference (2013, Las Vegas, NV), Institute of Electrical and Electronics Engineers (IEEE), Sep 2013.
The definitive version is available at https://doi.org/10.1109/VTCFall.2013.6692036
78th Vehicular Technology Conference, VTC Fall 2013 (2013: Sep. 2-5, Las Vegas, NV)
Electrical and Computer Engineering
Keywords and Phrases
Cooperative cognitive radio network; Genetic algorithm; Two-way relaying
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2013