Research Article
Genetic Algorithm Aided Transmit Power Control in Cognitive Radio Networks
@INPROCEEDINGS{10.4108/icst.crowncom.2014.255393, author={Raikel Lopez and Samuel Sanchez and Evelio Fernandez and Richard Souza and Hirley Alves}, title={Genetic Algorithm Aided Transmit Power Control in Cognitive Radio Networks}, proceedings={9th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2014}, month={7}, keywords={power control genetic algorithm}, doi={10.4108/icst.crowncom.2014.255393} }- Raikel Lopez
Samuel Sanchez
Evelio Fernandez
Richard Souza
Hirley Alves
Year: 2014
Genetic Algorithm Aided Transmit Power Control in Cognitive Radio Networks
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2014.255393
Abstract
We address the power control problem in cognitive radio networks where secondary users exploit spatial spectrum opportunities without causing unacceptable interference to primary users. An optimization problem is formulated aiming at maximizing the utility of secondary users and to ensure the QoS for both primary and secondary users. To solve the power allocation problem a genetic algorithm is developed, and two fitness functions are proposed. The first is oriented towards minimizing the total transmit power consumption of the secondary network. The second is a multi-objective function and is oriented to the joint optimization of total capacity and transmit power consumption of the secondary network. Results show a near-optimum performance of the genetic algorithm aided power control scheme based on the multi-objective fitness function.
