天地一体化信息网络2023，Vol.4Issue(4)：49-60,12.DOI:10.11959/j.issn.2096-8930.2023042
面向巨型星座的智能负载均衡算法
Intelligent Load Balancing Algorithm of Mega Constellation
摘要
Abstract
To overcome the local traffic congestion caused by the huge number of satellites in mega-constellation,a load balancing algorithm based on multi-agent deep reinforcement learning was proposed.Firstly,the satellites in the mega constellation were di-vided into clusters to perform the distributed management of the mega constellation,which could reduce the overhead of whole net-work.Then,based on the coordinated multi-agent deep reinforcement learning model,routing planning,which could be individually operated by satellites in the mega constellation,was designed to achieve the intra-cluster coordination.Additionally,a cluster state compression mechanism with autoencoder was proposed to compress the state space and improve the efficiency of multi-agent deep reinforcement learning.Finally,simulation results showed that compared with the traditional single-task routing algorithm,the pro-posed algorithm could increase the transmission success rate by more than 40%and the proposed algorithm could efficiently avoid local traffic congestion.关键词
巨型星座/多智能体深度强化学习/负载均衡/路由算法Key words
mega constellation/multi-agent deep reinforcement learning/load balancing/routing algorithm分类
信息技术与安全科学引用本文复制引用
罗树欣,张超,肖勇,刘建平..面向巨型星座的智能负载均衡算法[J].天地一体化信息网络,2023,4(4):49-60,12.基金项目
国家重点研发计划资助项目(No.2020YFB1806102) （No.2020YFB1806102）
陕西省重点研发计划资助项目(No.2023-YBGY-251)National Key Research and Development Program of China(No.2020YFB1806102),Key Research and Development Program of Shaanxi(No.2023-YBGY-251) （No.2023-YBGY-251）
