文献类型：期刊文献

英文题名：Base Station Wake-Up Strategy in Cellular Networks With Hybrid Energy Supplies for 6G Networks in an IoT Environment

作者：Wang, Heng[1,2];Huang, Min[3];Zhao, Zhenzhen[4];Guo, Zhiwei[5];Wang, Zhenfeng[1];Li, Menghan[1]

第一作者：Wang, Heng

通讯作者：Wang, ZF[1]

机构：[1]Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China;[2]Henan Agr Univ, Henan Int Joint Lab Laser Technol Agr Sci, Zhengzhou 450002, Peoples R China;[3]Zhengzhou Univ Light Ind, Coll Software, Zhengzhou 450002, Peoples R China;[4]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Peoples R China;[5]Chongqing Technol & Business Univ, Natl Res Base Intelligent Mfg Serv, Chongqing 400067, Peoples R China

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

通讯机构：[1]corresponding author), Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China.

年份：2021

卷号：8

期号：7

起止页码：5230-5239

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：;EI(收录号：20210209735500);Scopus(收录号：2-s2.0-85098757375);WOS:【SCI-EXPANDED(收录号:WOS:000633436600013)】；

基金：This work was supported in part by the Doctoral Research Fund of Zhengzhou University of Light Industry under Grant 13501050001; and in part by the Provincial Universities Basic Research Business Fee Funding Scheme under Grant GJJ20180001.

语种：英文

外文关键词：Solar energy; Internet of Things; Energy consumption; Renewable energy sources; Heuristic algorithms; Telecommunication traffic; Mathematical model; Green communication; Internet of Things (IoT); sixth generation (6G); solar energy; wakeup strategy

摘要：To reduce carbon footprint, a hybrid energy powered cellular network (HybE-Net) in the Internet-of-Things (IoT) environment is widely sought after. Different from cellular network powered on-grid energy, the base station (BS) wakeup in HybE-Net needs to consider the solar energy of the BS and the traffic load in the network. Thus, in this article, a fuzzy logic-based wakeup strategy is proposed, which comprehensively considers the energy wakeup level and the available network resource ratio. Then, the solar energy states are analyzed mathematically by using the diffusion approximation method. Finally, to prevent BSs from switching frequently between the sleeping and nonsleeping model, the awakening threshold is optimized by the penalty function method. The simulation results demonstrate that in the proposed wakeup strategy, the wakeup threshold based on the energy state is used to avoid the phenomenon of frequent handoff of the BSs, resulting in fewer handoffs. The proposed BS wakeup strategy can be further applied to both the current and sixth-generation (6G) mobile communication networks, which will be powered by other forms of renewable energy and on-grid energy in the future.