ws 15(3): e2

Research Article

Incentivize Spectrum Leasing in Cognitive Radio Networks by Exploiting Cooperative Retransmission

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  • @ARTICLE{10.4108/ws.1.3.e2,
        author={Xiaoyan  Wang and Yusheng Ji and Hao  Zhou and Zhi  Liu and Jie  Li},
        title={Incentivize Spectrum Leasing in Cognitive Radio Networks by Exploiting Cooperative Retransmission},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={1},
        number={3},
        publisher={ICST},
        journal_a={WS},
        year={2015},
        month={7},
        keywords={spectrum leasing, cooperative retransmission, trading model, game theoretic approach},
        doi={10.4108/ws.1.3.e2}
    }
    
  • Xiaoyan Wang
    Yusheng Ji
    Hao Zhou
    Zhi Liu
    Jie Li
    Year: 2015
    Incentivize Spectrum Leasing in Cognitive Radio Networks by Exploiting Cooperative Retransmission
    WS
    ICST
    DOI: 10.4108/ws.1.3.e2
Xiaoyan Wang1, Yusheng Ji1,*, Hao Zhou1, Zhi Liu2, Jie Li3
  • 1: Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan
  • 2: Information and Telecommunication Institute, Waseda University, Tokyo, Japan
  • 3: Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba Science City, Japan
*Contact email: kei@nii.ac.jp

Abstract

This paper addresses the spectrum leasing issue in cognitive radio networks by exploiting the secondary user’s cooperative retransmission. In contrast with the previous researches that focuses on cancellationbased or coding-based cooperative retransmissions, we propose a novel trading-based mechanism to facilitate the cooperative retransmission for cognitive radio networks. By utilizing the Stackelberg game model, we incentivize the otherwise non-cooperative users by maximizing their utilities in terms of transmission rates and economic profit. We analyze the existence of the unique Nash equilibrium of the game, and provide the optimal solutions with corresponding constraints. Numerical results demonstrate the efficiency of the proposed mechanism, under which the performance of the whole system could be substantially improved.