Sleep Strategy Based on Double DQN Method for Satellite Ground Relay Station

被引:1
|
作者
Li, Longhui [1 ]
Xu, Jinghao [1 ]
Yang, Ninghao [1 ]
Li, Yitao [1 ,2 ]
机构
[1] Sichuan Univ Sci & Engn, Sch Automat & Informat Engn, Yibin 644000, Sichuan, Peoples R China
[2] Artificial Intelligence Key Lab Sichuan Prov, Yibin 644000, Sichuan, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Relays; Satellites; Base stations; Energy consumption; Satellite broadcasting; Optimization; Ground support; Satellite navigation systems; Deep reinforcement learning; Energy efficiency; Satellite network; satellite network ground relay station; intelligent sleep; energy efficiency optimization; deep reinforcement learning;
D O I
10.1109/ACCESS.2024.3447633
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Satellite mobile communication networks can provide communication services in areas beyond the coverage of terrestrial cellular networks. Ground relay stations for satellite networks is an effective solution to improve the coverage quality and to ensure connectivity between regular ground terminals and the satellite network. Without power grid coverage, the ground relay station can only be powered by green energy generation devices. So the problem of energy-saving under sleep strategy is worthy of studying.This paper proposes an energy-saving sleep control method for ground relay stations through Double Deep Q Network (DDQN) algorithm. Based on the traditional rule-based method that is only set for residual energy, it also considers the impact of weather factors on solar and wind power generation on the energy efficiency of relay stations. The research results show that by considering multiple influencing factors at the same time, the method used in this paper can effectively save non-communication energy consumption at low loads, ensure the satellite communication needs of most users, and improve the operational energy efficiency of the relay station over a period of time.
引用
收藏
页码:130663 / 130674
页数:12
相关论文
共 50 条
  • [31] An Auxiliary Ground Station Based Traffic Load Balancing Scheme for LEO Satellite Systems
    Wang, Hao
    Wang, Furong
    Xie, Xu
    Yang, Laurence T.
    FGCN: PROCEEDINGS OF THE 2008 SECOND INTERNATIONAL CONFERENCE ON FUTURE GENERATION COMMUNICATION AND NETWORKING, VOLS 1 AND 2, 2008, : 778 - +
  • [32] Gravity Model-based Planning Algorithm of Ground Station for Optical Satellite Network
    Zhang, Yuanjian
    Zhao, Yongli
    Jing, Yinji
    Wang, Hua
    Wang, Wei
    Zhang, Jie
    2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP, 2022, : 1275 - 1279
  • [33] Double-DQN based path smoothing and tracking control method for robotic vehicle navigation
    Zhang, Wenyu
    Gai, Jingyao
    Zhang, Zhigang
    Tang, Lie
    Liao, Qingxi
    Ding, Youchun
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 166
  • [34] Surface Material Classification Based on Unbalanced Visual and Haptic Data: A Double-DQN Method
    Liu, Guohong
    Lv, Shuai
    Wang, Cong
    Li, Xiaomeng
    Nai, Weizhi
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [35] A Modular Robotic Arm Configuration Design Method Based on Double DQN with Prioritized Experience Replay
    Ding, Ziyan
    Tang, Haijun
    Wan, Haiying
    Zhang, Chengxi
    Sun, Ran
    SYMMETRY-BASEL, 2024, 16 (06):
  • [36] Federated double DQN based multi-energy microgrid energy management strategy considering carbon emissions
    Yang, Yanhong
    Ma, Tengfei
    Li, Haitao
    Liu, Yiran
    Tang, Chenghong
    Pei, Wei
    GLOBAL ENERGY INTERCONNECTION-CHINA, 2023, 6 (06): : 689 - 699
  • [37] Federated double DQN based multi-energy microgrid energy management strategy considering carbon emissions
    Yanhong Yang
    Tengfei Ma
    Haitao Li
    Yiran Liu
    Chenghong Tang
    Wei Pei
    Global Energy Interconnection, 2023, 6 (06) : 689 - 699
  • [38] Federated double DQN based multi-energy microgrid energy management strategy considering carbon emissions
    Yang Y.
    Ma T.
    Li H.
    Liu Y.
    Tang C.
    Pei W.
    Global Energy Interconnection, 2023, 6 (06) : 689 - 699
  • [39] Enhanced hierarchy directed graph method for fault diagnosis of large-scale satellite ground station
    Li J.
    Zhou R.
    Liu Z.
    Sun G.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2023, 45 (01): : 15 - 24
  • [40] Performance Enhancement of a Satellite's Onboard Antenna Tracking Profile using the Ground Station Searching Method
    Song, Young-Joo
    Lee, Jung-Ro
    Kang, Jihoon
    Jeon, Moon-Jin
    Ahn, Sang-il
    INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2016, 17 (03) : 391 - 400