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Cell selection in energy harvesting enabled HetNets toward green 5G

Authors :
Zhang Demin
Fu Yongli
Yang Kang
Source :
Dianzi Jishu Yingyong, Vol 44, Iss 10, Pp 118-121 (2018)
Publication Year :
2018
Publisher :
National Computer System Engineering Research Institute of China, 2018.

Abstract

As the number of users in cellular mobile networks increases, cellular network changed from the previous single architecture to heterogeneous architecture, base station energy consumption also showed an exponential growth. Energy harvesting is an promising technology to save on-grid power and reduce carbon emission in wireless communications. The cell selection in the HetNets is the critical factor of affecting network performance. In this paper, from the energy harvesting, energy cooperation, heterogeneous networks and other aspects, a cell selection algorithm is proposed, which can compromise energy harvesting, energy consumption, load balancing and other criteria. The simulation results show that this algorithm can reduce the base station′s demand for grid energy, increase the possibility of user selection, and satisfy the fairness and validity. It′s applicable to 5G green communications.

Details

Language :
Chinese
ISSN :
02587998
Volume :
44
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Dianzi Jishu Yingyong
Publication Type :
Academic Journal
Accession number :
edsdoj.997476f8ee9e4122950c72516761789d
Document Type :
article
Full Text :
https://doi.org/10.16157/j.issn.0258-7998.180367