文献类型：期刊文献

英文题名：Base Station Sleeping Strategy for On-Grid Energy Saving in Cellular Networks With Hybrid Energy Supplies in IoT Environment

作者：Wang, Heng[1,2];Zhao, Zhenzhen[3];Cheng, Xiaodong[4];Ying, Jilai[1,2];Qu, Jianhua[1,2];Xu, Guangyin[1,2]

第一作者：Wang, Heng

通讯作者：Xu, GY[1];Xu, GY[2]

机构：[1]Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Henan, Peoples R China;[2]Henan Agr Univ, Collaborat Innovat Ctr Biomass Energy, Zhengzhou 450002, Henan, Peoples R China;[3]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Henan, Peoples R China;[4]Henan Coll Transportat, Zhengzhou 450002, Henan, Peoples R China

第一机构：Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Henan, Peoples R China

通讯机构：[1]corresponding author), Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Henan, Peoples R China;[2]corresponding author), Henan Agr Univ, Collaborat Innovat Ctr Biomass Energy, Zhengzhou 450002, Henan, Peoples R China.

年份：2018

卷号：6

起止页码：45578-45589

外文期刊名：IEEE ACCESS

收录：;EI(收录号：20183405731826);Scopus(收录号：2-s2.0-85051770355);WOS:【SCI-EXPANDED(收录号:WOS:000445139300001)】；

基金：This work was supported in part by the Henan Provincial Department of Science and Technology Research Project under Grant 172102210307, Grant 182102110321, and Grant 182102210212, in part by the Henan Province Institution of Higher Learning Youth Backbone Teachers Training Program under Grant 2016GGJS-250, and in part by the Key Science Research Program of Henan Province under Grant 17A480004 and Grant 18B510004.

语种：英文

外文关键词：Base station sleeping strategy; coalitional games; Internet of Things; renewable energy sources; wireless communication

摘要：To efficiently reduce on-grid energy consumption, the base station (BS) sleeping strategy in the hybrid energy-powered cellular network (HybE-Net) in the Internet of Things environment is studied. In order to maximize on-grid energy saving, a BS sleeping algorithm, which adaptively and cooperatively adjusts the sleeping/non-sleeping state of BSs according to the actual traffic load and solar energy state, is proposed. Specifically, the solar energy state and dynamic characteristics of the BS in solar energy supply stage are analyzed by the approximation diffusion theory. Then, by comprehensively considering communication service quality and on-grid energy saving, BS sleeping constraints are derived mathematically. Subsequently, the BS sleeping problem in HybE-Net is formulated as the on-grid energy consumption maximization problem. To solve the optimization problem, a BS sleeping algorithm based on coalitional games is proposed. Finally, simulation results demonstrate that the proposed algorithm performs excellently in improving solar energy utilization and reducing on-grid energy consumption of the HybE-Net.