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

Research Article

Tracking Areas Planning with Cooperative Game in Heterogeneous and Small Cell Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-47509-7_5,
        author={Lei Ning and Zhenyong Wang and Qing Guo},
        title={Tracking Areas Planning with Cooperative Game in Heterogeneous and Small Cell 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={Heterogeneous and small cell networks Location management Tracking areas planning Cooperative game},
        doi={10.1007/978-3-319-47509-7_5}
    }
    
  • Lei Ning
    Zhenyong Wang
    Qing Guo
    Year: 2017
    Tracking Areas Planning with Cooperative Game in Heterogeneous and Small Cell Networks
    GAMENETS
    Springer
    DOI: 10.1007/978-3-319-47509-7_5
Lei Ning1,*, Zhenyong Wang1,*, Qing Guo1,*
  • 1: Harbin Institute of Technology
*Contact email: lning@hit.edu.cn, zywang@hit.edu.cn, qguo@hit.edu.cn

Abstract

Increasing demands of data transmissions are promoting the acceleration of peaking rate per terminal especially in hot-spots. Numerous irregular deployments of small cells require efficient TA planning method in heterogeneous cellular networks. Macrocells preferred access is not a fundamental solution for TA planning, result from reducing the offloading ability of small cells. In this paper, a novel TA planning algorithm based on cooperative games is proposed by detecting similar communities. Simulation results show that it can reduce the signalling overhead while maintaining the utilization proportion of femtocells.