An Algorithm of Dynamic Power Allocation Based on Deterministic Strategy for Satellite Communication
LAN Song
LI Hui
XU Yongjie
PENG Haojie
Abstract：With the increasing demand of ground users for data and the demand for resource allocation between satellite multi beams,efficient and stable dynamic resource allocation technology has become the key to restrict the current satellite communica-tion industry.Compared with traditional algorithms,the dynamic algorithm based on artificial intelligence introduces multi-dimen-sional resource allocation and complex space-time constraints into multi beam satellite communication.Through the established multi beam satellite communication model,a twin delayed deep deterministic policy gradient(TD3)algorithm based on determinis-tic policy is proposed.In this algorithm,a value network is constructed to evaluate strategies,a strategy network is constructed to up-date action strategies,and a delay update strategy and a noise smoothing target strategy are also adopted.Simulation results show that the throughput of this algorithm is improved by 5.2%compared with other reinforcement learning algorithms and traditional algo-rithms.In addition,by setting the number of neurons in the hidden layer,the most stable hidden layer parameters of the network model are found.
Keywords：power distributionmulti beam satellitedeep reinforcement learningdetermine strategy
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 21-25,62 )