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amsys 17(15): e3

Research Article

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

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  • @ARTICLE{10.4108/eai.8-12-2017.153460,
        author={Guoqiang Wang and Bai Sun},
        title={Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={4},
        number={15},
        publisher={EAI},
        journal_a={AMSYS},
        year={2017},
        month={12},
        keywords={UDN, Stochastic geometry, Relay, Modeling analysis, TRSC.},
        doi={10.4108/eai.8-12-2017.153460}
    }
    
  • Guoqiang Wang
    Bai Sun
    Year: 2017
    Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy
    AMSYS
    EAI
    DOI: 10.4108/eai.8-12-2017.153460
Guoqiang Wang1,*, Bai Sun1
  • 1: Key Lab of Electronic and Communication Engineering, Heilongjiang University, Harbin, P. R. China
*Contact email: 13936697869@163.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 saving energy and reducing the signal interference among cells to a certain extent.

Keywords
UDN, Stochastic geometry, Relay, Modeling analysis, TRSC.
Received
2017-08-12
Accepted
2017-11-12
Published
2017-12-08
Publisher
EAI
http://dx.doi.org/10.4108/eai.8-12-2017.153460

Copyright © 2017 Guoqiang Wang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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