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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99172
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dc.contributor.advisor魏宏宇zh_TW
dc.contributor.advisorHung-Yu Weien
dc.contributor.author吳育澤zh_TW
dc.contributor.authorYuh-Tser Wuen
dc.date.accessioned2025-08-21T16:40:15Z-
dc.date.available2025-08-22-
dc.date.copyright2025-08-21-
dc.date.issued2025-
dc.date.submitted2025-08-04-
dc.identifier.citationM. A. Jamshed, A. Kaushik, M. Dajer, A. Guidotti, F. Parzysz, E. Lagunas, M. D. Renzo, S. Chatzinotas, and O. A. Dobre, “Non-terrestrial networks for 6g: Integrated, intelligent and ubiquitous connectivity,” 2024. [Online]. Available: https://arxiv.org/abs/2407.02184
B. D. Filippo, B. Ahmad, D. G. Riviello, A. Guidotti, and A. Vanelli-Coralli, “Non-uniform user distribution in non-terrestrial networks with application to user scheduling,” in 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2024, pp. 441–446.
M. Majamaa, “Toward multi-connectivity in beyond 5g non-terrestrial networks: Challenges and possible solutions,” IEEE Communications Magazine, vol. 62, no. 11, pp. 144–150, 2024.
X. Li and B. Shang, “Advancing multi-connectivity in satellite-terrestrial integrated networks: Architectures, challenges, and applications,” IEEE Network, pp. 1–1, 2025.
A. Machumilane and A. Gotta, “On dual connectivity in 6g leo constellation,” in 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2024, pp. 25–30.
M. N. Dazhi, H. Al-Hraishawi, M. R. B. Shankar, and S. Chatzinotas, “Uplink capacity optimization for high throughput satellites using sdn and multi-orbital dual connectivity,” in 2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, pp. 544–549.
M. López, S. B. Damsgaard, I. Rodríguez, and P. Mogensen, “An empirical analysis of multi-connectivity between 5g terrestrial and leo satellite networks,” in 2022 IEEE Globecom Workshops (GC Wkshps), 2022, pp. 1115–1120.
M. López, S. B. Damsgaard, I. Rodríguez, and P. Mogensen, “Connecting rural areas: an empirical assessment of 5g terrestrial-leo satellite multi-connectivity,” in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023, pp. 1–5.
M. Al-Ansi, J. Querol, M. Alsenwi, E. Lagunas, and S. Chatzinotas, “Enhancing handover performance in leo satellite networks with multi-connectivity and conditional handover approach,” in 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2024, pp. 1–6.
Y. Wu, Y. He, L. P. Qian, J. Huang, and X. Shen, “Optimal resource allocations for mobile data offloading via dual-connectivity,” IEEE Transactions on Mobile Computing, vol. 17, no. 10, pp. 2349–2365, 2018.
S. M. Shahid, Y. T. Seyoum, S. H. Won, and S. Kwon, “Load balancing for 5g integrated satellite-terrestrial networks,” IEEE Access, vol. 8, pp. 132 144–132 156, 2020.
Y. Sadovaya, O. Vikhrova, S. Andreev, and H. Yanikomeroglu, “Enhancing service continuity in non-terrestrial networks via multi-connectivity offloading,” IEEE Communications Letters, vol. 28, no. 10, pp. 2333–2337, 2024.
M. Majamaa, H. Martikainen, L. Sormunen, and J. Puttonen, “Multi-connectivity for user throughput enhancement in 5g non-terrestrial networks,” in 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2022, pp. 412–418.
Q. Ye, B. Rong, Y. Chen, M. Al-Shalash, C. Caramanis, and J. G. Andrews, “User association for load balancing in heterogeneous cellular networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2706–2716, 2013.
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K. Alexandris, C.-Y. Chang, N. Nikaein, and T. Spyropoulos, “Multi-connectivity resource allocation with limited backhaul capacity in evolved lte,” in 2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018, pp. 1–6.
Y. Kim, J. Jang, and H. J. Yang, “Distributed resource allocation and user association for max-min fairness in hetnets,” IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 2983–2988, 2024.
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J. Garcia, S. Sundberg, G. Caso, and A. Brunstrom, “Multi-timescale evaluation of starlink throughput,” in Proceedings of the 1st ACM Workshop on LEO Networking and Communication, ser. LEO-NET ’23. New York, NY, USA: Association for Computing Machinery, 2023, p. 31–36. [Online]. Available: https://doi.org/10.1145/3614204.3616108
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99172-
dc.description.abstract在未來6G通訊中,非地面網路是一項關鍵技術,能有效提升全球網路的覆蓋範圍。然而,有鑑於非地面網路的頻譜資源本就較地面網路稀少,當使用者數量隨著技術普及而增加時,其分布也將趨向不均勻,使平衡網路負載成為一大挑戰。為了解決上述問題,本研究提出使用多連線技術(Multi-Connectivity)增加連線的彈性,並建構了一個能同時決定連線與頻寬分配的最佳化問題,其中進一步考量了饋線鏈路(Feeder Link)容量限制與連線更新的成本。為了求解該混合整數非線性規劃問題(Mixed-Integer Nonlinear Programming),本論文設計了一個分數捨入(fractional rounding)演算法得出次最佳解。經模擬結果驗證,我們的演算法在使用者傳輸量的公平程度與系統總通量都比基本的連線分配方法有更佳的表現。zh_TW
dc.description.abstractNon-Terrestrial Network (NTN) plays a crucial role in the future 6G to provide ubiquitous coverage. However, as the number of users increases, the uneven distribution of user terminals (UTs) poses a challenge to balance the network load. To efficiently allocate the scarce resource in NTN, we propose to introduce diversity by Multi-Connectivity (MC) and formulate a joint user association and bandwidth allocation optimization problem considering feeder link (FL) capacity and association addition/migration cost. To cope with the mixed-integer nonlinear programming (MINLP), a fractional rounding algorithm is presented. The simulation results show the superiority of our proposed scheme over baselines in terms of user data rate fairness and total system throughput.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-21T16:40:14Z
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dc.description.provenanceMade available in DSpace on 2025-08-21T16:40:15Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents口試委員會審定書 i
誌謝 ii
摘要 iii
Abstract iv
Contents v
List of Figures vii
List of Tables ix
Chapter 1. Introduction 1
Chapter 2. Related Work 3
Chapter 3. System Model 5
Chapter 4. Problem Formulation 9
Chapter 5. Proposed Solution 13
5.1 Problem Relaxation 13
5.2 Fractional Rounding Algorithm 14
Chapter 6. Evaluation Framework 17
6.1 Channel Model 17
6.1.1 Uplink (Access Link) 17
6.1.2 Downlink (Feeder Link) 18
6.2 Ephemeris Generation 19
6.3 User Terminal Distribution 20
6.4 Comparison Schedulers 20
6.5 Simulation Settings 21
Chapter 7. Evaluation Results 27
7.1 Comparison of Different Schedulers 27
7.2 Dual-orbit Network 32
7.3 Density of User Terminals 35
7.4 Link Addition/Migration Cost Values 39
7.5 Poisson Traffic Evaluation 40
Chapter 8. Conclusions and Future Directions 47
Bibliography 49
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dc.language.isoen-
dc.subject低軌道衛星zh_TW
dc.subject非地面網路zh_TW
dc.subject控制信號成本zh_TW
dc.subject負載均衡zh_TW
dc.subject多連線技術zh_TW
dc.subjectMulti-Connectivity (MC)en
dc.subjectLoad Balancingen
dc.subjectSignaling Costen
dc.subjectLow Earth Orbit (LEO) Satellitesen
dc.subjectNon-Terrestrial Network (NTN)en
dc.title以多連線技術均衡低軌道衛星網路之負載zh_TW
dc.titleMulti-Connectivity-Enabled Load Balancing in LEO Satellite Networksen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee蔡華龍;施美如;葉佳宜;黃道宏zh_TW
dc.contributor.oralexamcommitteeHua-Lung Tsai;Mei-Ju Shih;Chia-Yi Yeh;Dow-Hon Huangen
dc.subject.keyword非地面網路,低軌道衛星,多連線技術,負載均衡,控制信號成本,zh_TW
dc.subject.keywordNon-Terrestrial Network (NTN),Low Earth Orbit (LEO) Satellites,Multi-Connectivity (MC),Load Balancing,Signaling Cost,en
dc.relation.page52-
dc.identifier.doi10.6342/NTU202501584-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2025-08-07-
dc.contributor.author-college電機資訊學院-
dc.contributor.author-dept電信工程學研究所-
dc.date.embargo-lift2025-08-22-
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