Research Article
Distributed Multiple-Service User-Experience Energy Saving Algorithm for Base Station
@INPROCEEDINGS{10.1007/978-3-030-17513-9_6, author={Yuanyuan Zeng and Yu Zhang and Hao Jiang and Xian Zhou}, title={Distributed Multiple-Service User-Experience Energy Saving Algorithm for Base Station}, proceedings={5G for Future Wireless Networks. Second EAI International Conference, 5GWN 2019, Changsha, China, February 23-24, 2019, Proceedings}, proceedings_a={5GWN}, year={2019}, month={4}, keywords={5G Base energy saving Quality of Experience Energy efficiency Multi-service user experience}, doi={10.1007/978-3-030-17513-9_6} }- Yuanyuan Zeng
Yu Zhang
Hao Jiang
Xian Zhou
Year: 2019
Distributed Multiple-Service User-Experience Energy Saving Algorithm for Base Station
5GWN
Springer
DOI: 10.1007/978-3-030-17513-9_6
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.