9th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Genetic Algorithm Aided Transmit Power Control in Cognitive Radio Networks

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  • @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
Raikel Lopez1, Samuel Sanchez1, Evelio Fernandez2, Richard Souza3,*, Hirley Alves4
  • 1: UCLV
  • 2: UFPR
  • 3: UTFPR
  • 4: University of Oulu
*Contact email: richard@utfpr.edu.br

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.