Distributed Multiple-Service User-Experience Energy Saving Algorithm for Base Station

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Yuanyuan Zeng, Yu Zhang, Hao Jiang, Xian Zhou

Published: 2019, Last Modified: 17 Dec 20255GWN 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The issue about energy consumption of wireless network attracts more and more attention and becomes one of three energy efficiency features in 5G. The user associated base station switching on-off strategy can effectively reduce energy consumptions. The existing strategies mainly focus on Quality of Service for users, without fully considering the influence of user experience for specific applications and the problem of high time complexity of implementing the energy-saving strategy caused by the large scale of the 5G mobile network. This paper proposes Distributed Multiple-service User-experience Energy Saving Algorithm for base station (DMUES). Nonlinear integer programming is utilized to model the above problem, which achieves the tradeoff between user experience and energy consumption. By comparing with other relative energy saving strategy, the results show that DMUES achieves good performance on user experience and energy savings. Furthermore, the time complexity of energy saving strategy is reduced due to community partition.