Multi-satellite cooperative beam hopping resource allocation based on interference perception
Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO sy...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2023-08-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023161/ |
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| _version_ | 1841530895097397248 |
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| author | Jinlong HU Jihong LIU Yiqing ZHOU Huan CAO Zifan LIU Jiawei ZHAO Jinhong YUAN |
| author_facet | Jinlong HU Jihong LIU Yiqing ZHOU Huan CAO Zifan LIU Jiawei ZHAO Jinhong YUAN |
| author_sort | Jinlong HU |
| collection | DOAJ |
| description | Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%. |
| format | Article |
| id | doaj-art-235d988b089644e997bdd45460bb8863 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-235d988b089644e997bdd45460bb88632025-01-15T02:58:16ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-08-0139172859562497Multi-satellite cooperative beam hopping resource allocation based on interference perceptionJinlong HUJihong LIUYiqing ZHOUHuan CAOZifan LIUJiawei ZHAOJinhong YUANBeam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023161/LEObeam hoppingmulti-satellite cooperationinterference perception |
| spellingShingle | Jinlong HU Jihong LIU Yiqing ZHOU Huan CAO Zifan LIU Jiawei ZHAO Jinhong YUAN Multi-satellite cooperative beam hopping resource allocation based on interference perception Dianxin kexue LEO beam hopping multi-satellite cooperation interference perception |
| title | Multi-satellite cooperative beam hopping resource allocation based on interference perception |
| title_full | Multi-satellite cooperative beam hopping resource allocation based on interference perception |
| title_fullStr | Multi-satellite cooperative beam hopping resource allocation based on interference perception |
| title_full_unstemmed | Multi-satellite cooperative beam hopping resource allocation based on interference perception |
| title_short | Multi-satellite cooperative beam hopping resource allocation based on interference perception |
| title_sort | multi satellite cooperative beam hopping resource allocation based on interference perception |
| topic | LEO beam hopping multi-satellite cooperation interference perception |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023161/ |
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