5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

Coverage Performance in Cognitive Radio Networks with Self-sustained Secondary Transmitters

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  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_17,
        author={Xiaoshi Song and Xiangbo Meng and Yuting Geng and Ning Ye and Jun Liu},
        title={Coverage Performance in Cognitive Radio Networks with Self-sustained Secondary Transmitters},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={Cognitive radio network Energy harvesting Opportunistic spectrum access Stochastic geometry Transmission probabilty Coverage probability Spatial throughput},
        doi={10.1007/978-3-319-72823-0_17}
    }
    
  • Xiaoshi Song
    Xiangbo Meng
    Yuting Geng
    Ning Ye
    Jun Liu
    Year: 2018
    Coverage Performance in Cognitive Radio Networks with Self-sustained Secondary Transmitters
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_17
Xiaoshi Song1,*, Xiangbo Meng1, Yuting Geng1, Ning Ye1, Jun Liu1
  • 1: Northeastern University
*Contact email: songxiaoshi@cse.neu.edu.cn

Abstract

In this paper, we investigate the opportunistic spectrum access (OSA) of self-sustained secondary transmitters (STs) in cognitive radio (CR) network to improve both the spectral efficiency and energy efficiency. Particularly, by utilizing energy harvesting, the STs are assumed to be able to collect and store ambient powers for data transmission. An energy harvesting based OSA protocol, namely the EH-PRA protocol, is considered, under which a ST is eventually allowed to launch the transmission only if its battery level is larger than the transmit power and the estimated interference perceived at the active primary receivers (PRs) is lower than a threshold . Given that the battery capacity of STs is infinite, we derive the transmission probability of STs. We then characterize the coverage performance of the CR network. Finally, simulation results are provided for the validation of our analysis.