Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network
The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number...
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| Format: | Article |
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Post&Telecom Press Co.,LTD
2023-09-01
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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.2096-8930.2023031/ |
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| _version_ | 1841533915131543552 |
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| author | Renpeng LIU Bo HU Hequn LI |
| author_facet | Renpeng LIU Bo HU Hequn LI |
| author_sort | Renpeng LIU |
| collection | DOAJ |
| description | The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms. |
| format | Article |
| id | doaj-art-991c7f6c387e4774957cd31c152c9535 |
| institution | Kabale University |
| issn | 2096-8930 |
| language | zho |
| publishDate | 2023-09-01 |
| publisher | Post&Telecom Press Co.,LTD |
| record_format | Article |
| series | 天地一体化信息网络 |
| spelling | doaj-art-991c7f6c387e4774957cd31c152c95352025-01-15T02:48:30ZzhoPost&Telecom Press Co.,LTD天地一体化信息网络2096-89302023-09-014596659540574Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated NetworkRenpeng LIUBo HUHequn LIThe high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2023031/satellite-terrestrial integrated networkhandover controlnetwork topologymulti-objective optimization |
| spellingShingle | Renpeng LIU Bo HU Hequn LI Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network 天地一体化信息网络 satellite-terrestrial integrated network handover control network topology multi-objective optimization |
| title | Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network |
| title_full | Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network |
| title_fullStr | Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network |
| title_full_unstemmed | Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network |
| title_short | Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network |
| title_sort | inter satellite handover method based multi objective optimization in satellite terrestrial integrated network |
| topic | satellite-terrestrial integrated network handover control network topology multi-objective optimization |
| url | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2023031/ |
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