Double grouping-based group handover scheme for mega LEO satellite networks
The rapid development of mega low earth orbit (LEO) satellite networks is expected to have a significant impact on 6G networks. Unlike terrestrial networks, due to the high-speed movement of satellites, users will frequently hand over between satellites even if their positions remain unchanged. Furt...
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Published in | China communications Vol. 22; no. 2; pp. 77 - 94 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
China Institute of Communications
01.02.2025
School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China%School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China Songjiang Laboratory,Harbin Institute of Technology,Harbin 150001,China |
Subjects | |
Online Access | Get full text |
ISSN | 1673-5447 |
DOI | 10.23919/JCC.fa.2024-0299.202502 |
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Abstract | The rapid development of mega low earth orbit (LEO) satellite networks is expected to have a significant impact on 6G networks. Unlike terrestrial networks, due to the high-speed movement of satellites, users will frequently hand over between satellites even if their positions remain unchanged. Furthermore, the extensive coverage characteristic of satellites leads to massive users executing handovers simultaneously. To address these challenges, we propose a novel double grouping-based group handover scheme (DGGH) specifically tailored for mega LEO satellite networks. First, we develop a user grouping strategy based on beam-limited hierarchical clustering to divide users into distinct groups. Next, we reframe the challenge of managing multiple users' simultaneous handovers as a single-objective optimization problem, solving it with a satellite grouping strategy that leverages the accuracy of greedy algorithms and the simplicity of dynamic programming. Additionally, we develop a group handover algorithm based on minimal handover waiting time to improve the satellite grouping process further. The detailed steps of the DGGH scheme's handover procedure are meticulously outlined. Comprehensive simulations show that the proposed DGGH scheme outperforms single-user handover schemes in terms of handover signaling over-head and handover success rate. |
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AbstractList | The rapid development of mega low earth orbit (LEO) satellite networks is expected to have a significant impact on 6G networks. Unlike terrestrial networks, due to the high-speed movement of satellites, users will frequently hand over between satellites even if their positions remain unchanged. Furthermore, the extensive coverage characteristic of satellites leads to massive users executing handovers simultaneously. To address these challenges, we propose a novel double grouping-based group handover scheme (DGGH) specifically tailored for mega LEO satellite networks. First, we develop a user grouping strategy based on beam-limited hierarchical clustering to divide users into distinct groups. Next, we reframe the challenge of managing multiple users' simultaneous handovers as a single-objective optimization problem, solving it with a satellite grouping strategy that leverages the accuracy of greedy algorithms and the simplicity of dynamic programming. Additionally, we develop a group handover algorithm based on minimal handover waiting time to improve the satellite grouping process further. The detailed steps of the DGGH scheme's handover procedure are meticulously outlined. Comprehensive simulations show that the proposed DGGH scheme outperforms single-user handover schemes in terms of handover signaling over-head and handover success rate. The rapid development of mega low earth orbit(LEO)satellite networks is expected to have a significant impact on 6G networks.Unlike terrestrial networks,due to the high-speed movement of satel-lites,users will frequently hand over between satellites even if their positions remain unchanged.Further-more,the extensive coverage characteristic of satel-lites leads to massive users executing handovers si-multaneously.To address these challenges,we pro-pose a novel double grouping-based group handover scheme(DGGH)specifically tailored for mega LEO satellite networks.First,we develop a user grouping strategy based on beam-limited hierarchical clustering to divide users into distinct groups.Next,we reframe the challenge of managing multiple users'simultane-ous handovers as a single-objective optimization prob-lem,solving it with a satellite grouping strategy that leverages the accuracy of greedy algorithms and the simplicity of dynamic programming.Additionally,we develop a group handover algorithm based on min-imal handover waiting time to improve the satellite grouping process further.The detailed steps of the DGGH scheme's handover procedure are meticulously outlined.Comprehensive simulations show that the proposed DGGH scheme outperforms single-user han-dover schemes in terms of handover signaling over-head and handover success rate. |
Author | Hongtao, Zhu Zhenyong, Wang Mingchuan, Yang Qing, Guo Dezhi, Li |
AuthorAffiliation | School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China%School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China;Songjiang Laboratory,Harbin Institute of Technology,Harbin 150001,China |
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Snippet | The rapid development of mega low earth orbit (LEO) satellite networks is expected to have a significant impact on 6G networks. Unlike terrestrial networks,... The rapid development of mega low earth orbit(LEO)satellite networks is expected to have a significant impact on 6G networks.Unlike terrestrial networks,due to... |
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StartPage | 77 |
SubjectTerms | 6G mobile communication Aggregates Complexity theory DGGH group handover Handover Heuristic algorithms Low earth orbit satellites mega LEO satellite networks Optimization Quality of experience Satellite broadcasting satellite grouping Satellites user grouping |
Title | Double grouping-based group handover scheme for mega LEO satellite networks |
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