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

Abstract

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.

Keywords

• Satellite network
• satellite network ground relay station
• intelligent sleep
• energy efficiency optimization
• deep reinforcement learning