A robust routing strategy based on deep reinforcement learning for mega satellite constellations
Abstract For mega satellite constellations, it has been a great challenge to achieve global routing and guarantee the performance of inter‐satellite transmission. To address the problem, a robust routing strategy based on deep reinforcement learning is proposed in this letter. The proposed method is...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12820 |
| _version_ | 1797807098412662784 |
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| author | Ke Chu Sixi Cheng Lidong Zhu |
| author_facet | Ke Chu Sixi Cheng Lidong Zhu |
| author_sort | Ke Chu |
| collection | DOAJ |
| description | Abstract For mega satellite constellations, it has been a great challenge to achieve global routing and guarantee the performance of inter‐satellite transmission. To address the problem, a robust routing strategy based on deep reinforcement learning is proposed in this letter. The proposed method is applicable to degraded transmission performance, which exhibits better conformity to real‐world scenarios. Moreover, the age of information (AoI) of packets are utilized as one of the multi‐optimization targets to ensure the effectiveness of message transmission throughout the network. Numerical simulations show the outstanding average AoI performance of the proposed method and its greater robustness to jamming compared to existing methods. Meanwhile, it is also more effective for utilizing resources. |
| first_indexed | 2024-03-13T06:17:26Z |
| format | Article |
| id | doaj.art-3e1f23b12d3f4a4e82b8ae5e24e3634a |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-03-13T06:17:26Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-3e1f23b12d3f4a4e82b8ae5e24e3634a2023-06-10T08:46:28ZengWileyElectronics Letters0013-51941350-911X2023-06-015911n/an/a10.1049/ell2.12820A robust routing strategy based on deep reinforcement learning for mega satellite constellationsKe Chu0Sixi Cheng1Lidong Zhu2National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaNational Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaNational Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaAbstract For mega satellite constellations, it has been a great challenge to achieve global routing and guarantee the performance of inter‐satellite transmission. To address the problem, a robust routing strategy based on deep reinforcement learning is proposed in this letter. The proposed method is applicable to degraded transmission performance, which exhibits better conformity to real‐world scenarios. Moreover, the age of information (AoI) of packets are utilized as one of the multi‐optimization targets to ensure the effectiveness of message transmission throughout the network. Numerical simulations show the outstanding average AoI performance of the proposed method and its greater robustness to jamming compared to existing methods. Meanwhile, it is also more effective for utilizing resources.https://doi.org/10.1049/ell2.12820network routingsatellite communicationwireless communications |
| spellingShingle | Ke Chu Sixi Cheng Lidong Zhu A robust routing strategy based on deep reinforcement learning for mega satellite constellations Electronics Letters network routing satellite communication wireless communications |
| title | A robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| title_full | A robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| title_fullStr | A robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| title_full_unstemmed | A robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| title_short | A robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| title_sort | robust routing strategy based on deep reinforcement learning for mega satellite constellations |
| topic | network routing satellite communication wireless communications |
| url | https://doi.org/10.1049/ell2.12820 |
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