Smart Grid and Innovative Frontiers in Telecommunications. Third International Conference, SmartGIFT 2018, Auckland, New Zealand, April 23-24, 2018, Proceedings

Research Article

Energy-Efficiency Maximisation in Random Cognitive Radio Networks

  • @INPROCEEDINGS{10.1007/978-3-319-94965-9_8,
        author={Saifur Sabuj and Md Hossain and Edmund Lai},
        title={Energy-Efficiency Maximisation in Random Cognitive Radio Networks},
        proceedings={Smart Grid and Innovative Frontiers in Telecommunications. Third International Conference, SmartGIFT 2018, Auckland, New Zealand, April 23-24, 2018, Proceedings},
        proceedings_a={SMARTGIFT},
        year={2018},
        month={7},
        keywords={Cognitive radio network Stochastic geometry Poisson point process Energy efficiency},
        doi={10.1007/978-3-319-94965-9_8}
    }
    
  • Saifur Sabuj
    Md Hossain
    Edmund Lai
    Year: 2018
    Energy-Efficiency Maximisation in Random Cognitive Radio Networks
    SMARTGIFT
    Springer
    DOI: 10.1007/978-3-319-94965-9_8
Saifur Sabuj1,*, Md Hossain2,*, Edmund Lai2,*
  • 1: Brac University
  • 2: Auckland University of Technology
*Contact email: srsabuj@bracu.ac.bd, akbar.hossain@aut.ac.nz, edmund.lai@aut.ac.nz

Abstract

Energy-efficient cognitive radio network has received considerable attention recently because of improving spectrum and energy efficiency. In light of such observations, we present a model for cognitive radio network based on stochastic geometry theory where transmitters and receivers are distributed according to Poisson point process. In this paper, we focus on the optimization problem where energy efficiency is maximized under the constraint of outage probability for primary network and secondary network. We show that the energy efficiency is increased with the increment of threshold for primary network. However, the energy efficiency is maximum for a certain value of threshold in secondary network.