Game Theory for Networks. 6th International Conference, GameNets 2016, Kelowna, BC, Canada, May 11-12, 2016, Revised Selected Papers

Research Article

Energy Efficient Channel Sharing and Power Optimization for Device-to-Device Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-47509-7_7,
        author={Zeguo Xi and Xiangming Wen and Zhaoming Lu and Yan Zeng and Zhiqun Hu and Tao Lei},
        title={Energy Efficient Channel Sharing and Power Optimization for Device-to-Device Networks},
        proceedings={Game Theory for Networks. 6th International Conference, GameNets 2016, Kelowna, BC, Canada, May 11-12, 2016, Revised Selected Papers},
        proceedings_a={GAMENETS},
        year={2017},
        month={1},
        keywords={Energy efficiency (EE) Device-to-device (D2D) communication Coalition formation game Resource sharing},
        doi={10.1007/978-3-319-47509-7_7}
    }
    
  • Zeguo Xi
    Xiangming Wen
    Zhaoming Lu
    Yan Zeng
    Zhiqun Hu
    Tao Lei
    Year: 2017
    Energy Efficient Channel Sharing and Power Optimization for Device-to-Device Networks
    GAMENETS
    Springer
    DOI: 10.1007/978-3-319-47509-7_7
Zeguo Xi,*, Xiangming Wen, Zhaoming Lu, Yan Zeng, Zhiqun Hu, Tao Lei
    *Contact email: xizeguo1@bupt.edu.cn

    Abstract

    In device-to-device (D2D) networks, the system performance can be significantly improved with a well resource allocation scheme. In this paper, the issue of channel sharing and power allocation for device-to-device (D2D) communications underlaying cellular networks is considered. The users with the same service content are categorized into clusters, with clusters sharing the frequency of the uplink users. With this non-orthogonal frequency sharing, the energy efficiency of different type of users, i.e., the uplink users or the D2D users, is analysed. The energy-efficient resource sharing problem is further formulated into a non-transferable coalition formation game, and several related factors of the game is described. A distributed coalition formation game algorithm based on the merge and split rule is proposed. With numerical results, the effectiveness of the game model and the algorithm is demonstrated.