Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning
With the rapid development of satellite communication, the satellite internet is one of the core technologies of 6G network to realize global coverage, full-time access and full scene service.The high dynamics and limited capacity of satellite network lead to a series of management and control chall...
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Post&Telecom Press Co.,LTD
2022-09-01
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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.2096-8930.2022033/ |
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author | Linhui WEI Guowen LIU Yu LIU Yumei WANG |
author_facet | Linhui WEI Guowen LIU Yu LIU Yumei WANG |
author_sort | Linhui WEI |
collection | DOAJ |
description | With the rapid development of satellite communication, the satellite internet is one of the core technologies of 6G network to realize global coverage, full-time access and full scene service.The high dynamics and limited capacity of satellite network lead to a series of management and control challenges such as heterogeneous network management, dynamic resource allocation and so on.Since the machine learning-based technologies have strength in network design, the intelligent architecture of software-defi ned satellite internet was put forward.In view of the intelligent routing in satellite internet, and leverages the deep reinforcement algorithm based on double delayed deep deterministic policy gradient (TD3) to solve the network routing optimization problem.The experimental results showed that compared with DDPG algorithm, the TD3 algorithm reduced the delay by 19.19%. |
format | Article |
id | doaj-art-2a35eb4b98c44f58a775108e8558c97d |
institution | Kabale University |
issn | 2096-8930 |
language | zho |
publishDate | 2022-09-01 |
publisher | Post&Telecom Press Co.,LTD |
record_format | Article |
series | 天地一体化信息网络 |
spelling | doaj-art-2a35eb4b98c44f58a775108e8558c97d2025-01-15T02:48:09ZzhoPost&Telecom Press Co.,LTD天地一体化信息网络2096-89302022-09-013657159531039Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement LearningLinhui WEIGuowen LIUYu LIUYumei WANGWith the rapid development of satellite communication, the satellite internet is one of the core technologies of 6G network to realize global coverage, full-time access and full scene service.The high dynamics and limited capacity of satellite network lead to a series of management and control challenges such as heterogeneous network management, dynamic resource allocation and so on.Since the machine learning-based technologies have strength in network design, the intelligent architecture of software-defi ned satellite internet was put forward.In view of the intelligent routing in satellite internet, and leverages the deep reinforcement algorithm based on double delayed deep deterministic policy gradient (TD3) to solve the network routing optimization problem.The experimental results showed that compared with DDPG algorithm, the TD3 algorithm reduced the delay by 19.19%.http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2022033/satellite internetsoftware-defi ned networkingdeep reinforcement learningrouting optimization |
spellingShingle | Linhui WEI Guowen LIU Yu LIU Yumei WANG Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning 天地一体化信息网络 satellite internet software-defi ned networking deep reinforcement learning routing optimization |
title | Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning |
title_full | Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning |
title_fullStr | Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning |
title_full_unstemmed | Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning |
title_short | Research on Routing Optimization in Satellite Internet Based on Deep Reinforcement Learning |
title_sort | research on routing optimization in satellite internet based on deep reinforcement learning |
topic | satellite internet software-defi ned networking deep reinforcement learning routing optimization |
url | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2022033/ |
work_keys_str_mv | AT linhuiwei researchonroutingoptimizationinsatelliteinternetbasedondeepreinforcementlearning AT guowenliu researchonroutingoptimizationinsatelliteinternetbasedondeepreinforcementlearning AT yuliu researchonroutingoptimizationinsatelliteinternetbasedondeepreinforcementlearning AT yumeiwang researchonroutingoptimizationinsatelliteinternetbasedondeepreinforcementlearning |