Intelligent Load Balancing Algorithm of Mega Constellation

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 divided into clusters to perform the distributed man...

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Main Authors: Shuxin LUO, Chao ZHANG, Yong XIAO, Jianping LIU
Format: Article
Language:zho
Published: Post&Telecom Press Co.,LTD 2023-12-01
Series:天地一体化信息网络
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Online Access:http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2023042/
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author Shuxin LUO
Chao ZHANG
Yong XIAO
Jianping LIU
author_facet Shuxin LUO
Chao ZHANG
Yong XIAO
Jianping LIU
author_sort Shuxin LUO
collection DOAJ
description 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 divided into clusters to perform the distributed management of the mega constellation, which could reduce the overhead of whole network.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 proposed algorithm could increase the transmission success rate by more than 40% and the proposed algorithm could efficiently avoid local traffic congestion.
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institution Kabale University
issn 2096-8930
language zho
publishDate 2023-12-01
publisher Post&Telecom Press Co.,LTD
record_format Article
series 天地一体化信息网络
spelling doaj-art-92bfa68046944501a08db81a548bda862025-01-15T02:48:35ZzhoPost&Telecom Press Co.,LTD天地一体化信息网络2096-89302023-12-014496059541100Intelligent Load Balancing Algorithm of Mega ConstellationShuxin LUOChao ZHANGYong XIAOJianping LIUTo 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 divided into clusters to perform the distributed management of the mega constellation, which could reduce the overhead of whole network.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 proposed algorithm could increase the transmission success rate by more than 40% and the proposed algorithm could efficiently avoid local traffic congestion.http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2023042/mega constellationmulti-agent deep reinforcement learningload balancingrouting algorithm
spellingShingle Shuxin LUO
Chao ZHANG
Yong XIAO
Jianping LIU
Intelligent Load Balancing Algorithm of Mega Constellation
天地一体化信息网络
mega constellation
multi-agent deep reinforcement learning
load balancing
routing algorithm
title Intelligent Load Balancing Algorithm of Mega Constellation
title_full Intelligent Load Balancing Algorithm of Mega Constellation
title_fullStr Intelligent Load Balancing Algorithm of Mega Constellation
title_full_unstemmed Intelligent Load Balancing Algorithm of Mega Constellation
title_short Intelligent Load Balancing Algorithm of Mega Constellation
title_sort intelligent load balancing algorithm of mega constellation
topic mega constellation
multi-agent deep reinforcement learning
load balancing
routing algorithm
url http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2023042/
work_keys_str_mv AT shuxinluo intelligentloadbalancingalgorithmofmegaconstellation
AT chaozhang intelligentloadbalancingalgorithmofmegaconstellation
AT yongxiao intelligentloadbalancingalgorithmofmegaconstellation
AT jianpingliu intelligentloadbalancingalgorithmofmegaconstellation