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多波束LEO卫星海洋通信网络联合波位划分的无线资源调配方法

张贤 王东东 周政 李学华

通信学报2026,Vol.47Issue(5):195-207,13.
通信学报2026,Vol.47Issue(5):195-207,13.DOI:10.11959/j.issn.1000-436x.TXXB260096

多波束LEO卫星海洋通信网络联合波位划分的无线资源调配方法

Joint beam position partitioning based on radio resource allocation method in multi-beam LEO satellite maritime communication networks

张贤 1王东东 1周政 2李学华1

作者信息

  • 1. 北京信息科技大学信息与通信工程学院,北京 102206||北京信息科技大学现代测控技术教育部重点实验室,北京 102206
  • 2. 宁波大学信息科学与工程学院,浙江 宁波 315211
  • 折叠

摘要

Abstract

To address the difficulty of balancing coverage and throughput caused by sparse user distribution and dynamic channel conditions in maritime environments,radio resource allocation method with joint beam position partitioning was proposed.First,based on the P-center algorithm,the number of beam positions,center locations,and coverage radii were jointly optimized.Then,with the objective of maximizing the network weighted average throughput(WAT),subchannel allocation and users'uplink transmit power were further jointly optimized,and a cooperative resource allocation strategy based on the multi-agent twin delayed deep deterministic policy gradient(MATD3)algorithm was designed to solve the problem.Simulation results show that,compared with the fixed beam-radius scheme and the K-means beam position parti-tioning scheme,the proposed beam position partitioning method improves network WAT by 10.26%and 3.85%,respec-tively.In addition,compared with MADQN and MADDPG,the proposed MATD3-based resource allocation method im-proves network WAT improvements of 20.53%and 5.58%,respectively.

关键词

低轨卫星通信/波位划分/无线资源调配/多智能体深度强化学习

Key words

LEO satellite communication/beam position partitioning/radio resource allocation/multi-agent deep rein-forcement learning

分类

信息技术与安全科学

引用本文复制引用

张贤,王东东,周政,李学华..多波束LEO卫星海洋通信网络联合波位划分的无线资源调配方法[J].通信学报,2026,47(5):195-207,13.

基金项目

国家自然科学基金资助项目(No.62401066,No.62101289) The National Natural Science Foundation of China(No.62401066,No.62101289) (No.62401066,No.62101289)

通信学报

1000-436X

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