航天器工程2026，Vol.35Issue(4)：25-32,8.DOI:10.3969/j.issn.1673-8748.2026.04.004
GEO卫星多波束动态频率-功率联合分配研究
Research on Joint Allocation for Multi-beam Dynamic Frequency-power of GEO Satellite
朱浩宁 1李静涛 2董赞扬 1聂高峰3
作者信息
- 1. 中国空间技术研究院通信与导航卫星总体部,北京 100094
- 2. 中国空间技术研究院,北京 100094
- 3. 北京邮电大学,北京 100876
- 折叠
摘要
Abstract
To address the spectrum,power,and interference constraints of geostationary orbit(GEO)multi-beam satellite,a system optimization model with the objective of maximizing the total service ratio is established,and a split-branch deep Q network(DQN)algorithm based on deep reinforcement learning(DRL)is proposed to realize joint allocation for multi-beam dynamic frequency-power.The joint action is decomposed into three sub-decisions-starting frequency slot,frequency slot number,and power level-effectively to reduce the action-space dimension.Simulation results show that split-branch DQN algorithm achieves a service ratio of 86.5%,which is about 5.0%higher than that of the traditional proximal policy optimization(PPO)algo-rithm.Therefore,it can be applied to frequency planning and power regulation of GEO satellite to improve the system service satisfaction.关键词
地球同步轨道卫星/多波束/频率-功率联合分配/深度Q网络Key words
GEO satellite/multi-beam/frequency-power joint allocation/DQN分类
信息技术与安全科学引用本文复制引用
朱浩宁,李静涛,董赞扬,聂高峰..GEO卫星多波束动态频率-功率联合分配研究[J].航天器工程,2026,35(4):25-32,8.
