Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_58,
        author={Guoqiang Wang and Bai Sun},
        title={Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={UDN Stochastic geometry Relay Modeling analysis TRSC},
        doi={10.1007/978-3-319-73564-1_58}
    }
    
  • Guoqiang Wang
    Bai Sun
    Year: 2018
    Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_58
Guoqiang Wang1,*, Bai Sun1,*
  • 1: Heilongjiang University
*Contact email: 13936697869@163.com, 444967247@qq.com

Abstract

In recent years, with the rapid development of wireless communication, the traditional cellular with isomorphic and regular structure has been unable to meet the increasing number of users and business needs involving data of big volume. The trend is evolving into Ultra Dense Network (UDN) architecture which is covered by cellular of irregular complex structure. In UDN, the spatial distribution of the base station plays an important role in the interference and performance evaluation of the whole cellular network, and the concept of green communication has also been put on agenda. In this paper, stochastic geometry theory is used to model UDN and to analyze the key performance of interference and wireless network. Moreover, a green communication strategy called TRSC is proposed, which is aimed at save energy and reduce the signal interference among cells to some extent.