通信学报2024，Vol.45Issue(7)：37-47,11.DOI:10.11959/j.issn.1000-436x.2024040
基于决策性能评估的多波束低地球轨道卫星网络资源分配算法
Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation
摘要
Abstract
To address challenges such as co-frequency interference,spectrum scarcity,and uneven traffic distribution in multi-beam LEO satellites,a resource allocation algorithm based on decision performance evaluation was proposed.The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness.The optimization problem was modeled as a multi-objective optimization.The continuous resource allocation process with temporal correlation was modeled as a Markov decision process,and a decision-evaluation dual-network al-gorithm was proposed to solve it.The decision network parameters were adjusted based on evaluation network results to optimize resource allocation and update the evaluation network parameters.Through iterative optimization,the decision network achieved accurate predictions.Simulation results show that the proposed algorithm outperforms traditional re-source allocation algorithms in terms of throughput and fairness.关键词
多波束卫星/深度强化学习/多目标优化/资源管理Key words
multi-beam satellite/deep reinforcement learning/multi-objective optimization/resource management分类
电子信息工程引用本文复制引用
王朝炜,庞明亮,王粟,赵玲莉,高飞飞,崔高峰,王卫东..基于决策性能评估的多波束低地球轨道卫星网络资源分配算法[J].通信学报,2024,45(7):37-47,11.基金项目
重庆市自然科学基金资助项目(No.CSTB2023NSCQ-LZX0118) （No.CSTB2023NSCQ-LZX0118）
北京邮电大学博士生创新基金资助项目(No.CX2023139) The Natural Science Foundation of Chongqing(No.CSTB2023NSCQ-LZX0118),BUPT Excellent Ph.D.Stu-dents Foundation(No.CX2023139) （No.CX2023139）
