With the advent of 5G, the energy consumption of communication industry also increases, among which the base station (BS) energy consumption accounts for 43% of the total energy consumption of mobile communication.In order to reduce the communication energy consumption, the BS sleep technology can make the BS with low load enter the sleep state, realize the energy saving and create the green communication. In this paper, the simulated annealing (SA) algorithm is used to determine the BS closing mode. The switching situation can effectively reduce the energy consumption, which has practical significance and conforms to the expectation. The simulation results show that the sleep strategy can reduce the energy consumption, and the optimization of the algorithm can get a better solution and a simpler traversal process.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm


    Additional title:

    Lect.Notes Social.Inform.


    Contributors:
    Wu, Qihui (editor) / Zhao, Kanglian (editor) / Ding, Xiaojin (editor) / Yang, Wenchao (author) / Bai, Xu (author) / Gao, Yulong (author) / Wang, Rui (author)

    Conference:

    International Conference on Wireless and Satellite Systems ; 2020 ; Nanjing, China September 17, 2020 - September 18, 2020



    Publication date :

    2021-02-28


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Hybrid-Simulated Annealing Algorithm Based Wind-Solar-Storage Power Allocation Scheme

    Yu, Chengyang / Zhu, Chuntao / Zhou, Shiyu et al. | IEEE | 2024


    Iterative sIB Algorithm based on Simulated Annealing

    Yuan, H. / Ye, Y. / Deng, J. | British Library Online Contents | 2010


    A Simulated-Annealing-Based Multi-Objective Memetic Algorithm

    Guo, X.-p. / Yang, G.-k. / Wu, Z.-m. | British Library Online Contents | 2007


    Optimization Vehicle Scheduling Based on Simulated Annealing Genetic Algorithm

    Xia, Ying ;Yi, Cheng | Trans Tech Publications | 2014


    Simulated Annealing Algorithm for 2D Image Compression

    Moreno-Bernal, P. / Cruz-Chavez, M. A. / Rodriguez-Leon, A. et al. | IEEE | 2012