| تعداد نشریات | 22 |
| تعداد شمارهها | 706 |
| تعداد مقالات | 10,174 |
| تعداد مشاهده مقاله | 71,551,989 |
| تعداد دریافت فایل اصل مقاله | 63,262,787 |
An Intelligent Handover Optimization Framework for Signaling Storm Reduction in 5G–Satellite Integrated Networks | ||
| Journal of Modeling and Simulation in Electrical and Electronics Engineering | ||
| دوره 6، شماره 3 - شماره پیاپی 25، آذر 2026، صفحه 9-18 اصل مقاله (668.37 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/mseee.2026.40671.1256 | ||
| نویسنده | ||
| Marjan Keramati* | ||
| Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran. | ||
| تاریخ دریافت: 02 اسفند 1404، تاریخ بازنگری: 21 فروردین 1405، تاریخ پذیرش: 22 اردیبهشت 1405 | ||
| چکیده | ||
| Low Earth Orbit (LEO) satellite networks have become an essential component of 5G and beyond non-terrestrial networks, as they enable low-latency communication and broad geographic coverage. Nevertheless, the rapid movement of LEO satellites introduces frequent handovers, substantial signaling overhead, and uneven load distribution, all of which can disrupt service continuity, particularly in scenarios involving large populations of user terminals. To address these challenges, this paper proposes a meta-heuristic-based multi-objective group handover optimization framework for LEO satellite systems. Unlike existing approaches, the proposed method jointly optimizes handover decisions at the group level while explicitly considering the RVT of satellites to ensure more stable and efficient connectivity. The simulation results show that the proposed approach effectively decreases unnecessary handovers (30%), alleviates signaling storms (70%), balances satellite loads more efficiently (10%), and prolongs the effective connectivity duration when compared with conventional baseline schemes. These findings validate the proposed framework as a more efficient solution for mobility management in highly dynamic LEO satellite network environments. | ||
| کلیدواژهها | ||
| 5G Non-Terrestrial Networks؛ Group Handover؛ Handover Management؛ LEO Satellite Networks؛ Load Balancing | ||
| مراجع | ||
|
[1] B. Zheng, Y.-C. Yu, J.-Y. Wang, and C. Ding, “Inter-beam handover schemes for LEO satellites in 5G satellite–terrestrial integrated networks,” Physical Communication, vol. 67, p. 102525, Dec. 2024, doi: https://doi.org/10.1016/j.phycom.2024.102525.
[2] S. Eydian, M. Hosseini, and G. Karabulut Kurt, “Handover Strategy for LEO Satellite Networks Using Bipartite Graph and Hysteresis Margin,” IEEE Open Journal of the Communications Society, vol. 6, pp. 1470–1484, 2025, doi: https://doi.org/10.1109/ojcoms.2025.3541962.
[3] U. Ntabeni, B. Basutli, H. Alves, and J. Chuma, “Adaptive Handover Optimization in LEO Satellite Networks Using Energy-Aware Q-Learning,” IEEE Open Journal of the Communications Society, vol. 6, pp. 5657-5666, 2025, doi:10.1109/OJCOMS.2025.3585506.
[4] Z. Wang, L. Zhou, and Y. Wang, “Research on Handover Technology for 5G LEO Satellite Network Based on ns-3,” in Proc. Springer, 2024, doi:10.1007/978-3-031-65126-7_25.
[5] J.-W. Lee et al., “Handover strategy for LEO satellite communication using graph neural network,” ICT Express, vol. 11, no. 2, pp. 239–244, Apr. 2025, doi: https://doi.org/10.1016/j.icte.2025.01.009.
[6] M. A. Massad, A. Y. Alma’aitah, and H. S. Hassanein, “Real-Time Handover in LEO Satellite Networks via Markov Chain-Guided Simulated Annealing,” Network, vol. 5, no. 4, pp. 49–49, Nov. 2025, doi: https://doi.org/10.3390/network5040049.
[7] A. K. Abasi, M. Aloqaily, M. Guizani, and B. Ouni, “Metaheuristic algorithms for 6G wireless communications: Recent advances and applications,” Ad Hoc Networks, vol. 158, pp. 103474, Mar. 2024, doi: 10.1016/j.adhoc.2024.103474.
[8] L. Yang, X. Yang, and Z. Bu, “A Group Handover Strategy for Massive User Terminals in LEO Satellite Networks,” 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), pp. 1–6, Sep. 2022, doi: https://doi.org/10.1109/vtc2022-fall57202.2022.10012912.
[9] B. Zhang et al., “Secure and Efficient Group Handover Protocol in 5G Non-Terrestrial Networks,” ICC 2022 - IEEE International Conference on Communications, pp. 5063–5068, Jun. 2024, doi: https://doi.org/10.1109/icc51166.2024.10622669.
[10] 3GPP, “Signaling Storm During HOs and Timer Based Trigger Details,” 3rd Generation Partnership Project, Tech. Rep. R2-2108065, 08 2021, Accessed: 11-10-25. [Online]. Available https://www.3gpp.org/.
[11] M. M. Azari et al., “Evolution of Non-Terrestrial Networks from 5G to 6G: A Survey,” IEEE Communications Surveys & Tutorials, pp. 1–1, 2022, doi: https://doi.org/10.1109/comst.2022.3199901.
[12] T. Darwish, G. K. Kurt, H. Yanikomeroglu, M. Bellemare, and G. Lamontagne, “LEO Satellites in 5G and Beyond Networks: A Review From a Standardization Perspective,” IEEE Access, vol. 10, pp. 35040–35060, 2022, doi: https://doi.org/10.1109/access.2022.3162243.
[13] Z. Hongtao, W. Zhenyong, L. Dezhi, Y. Mingchuan, and G. Qing, “Double grouping-based group handover scheme for mega LEO satellite networks,” China Communications, vol. 22, no. 2, pp. 77–94, Feb. 2025, doi: https://doi.org/10.23919/jcc.fa.2024-0299.202502.
[14] F. Yang, W. Wu, Y. Gao, Y. Sun, T. Sun, and P. Si, “Multi-Agent Fingerprints-Enhanced Distributed Intelligent Handover Algorithm in LEO Satellite Networks,” IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 15255–15269, Oct. 2024, doi: https://doi.org/10.1109/tvt.2024.3412287.
[15] F. Ahmed, M. Lee, S. Subramaniam, M. Matsuura, H. Hasegawa, and S. Lin, “Optimizing Handover Decisions in Multi-Connectivity Enabled Terrestrial-Satellite Integrated Networks: A Deep Reinforcement Learning Approach,” 2025 IEEE Wireless Communications and Networking Conference (WCNC), pp. 01–07, Mar. 2025, doi: https://doi.org/10.1109/wcnc61545.2025.10978280.
[16] J.-H. Lee, C. Park, S. Park, and A. F. Molisch, “Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization,” IEEE Transactions on Wireless Communications, vol. 23, no. 7, pp. 7624–7637, Jul. 2024, doi: https://doi.org/10.1109/twc.2023.3342975.
[17] S. Min, H. Kim, E. Lee, S. Sung, Y. Lee, and D. Hong, “A New User-Centric Opportunistic Handover for LEO Satellite Communication Systems,” pp. 1–6, Feb. 2025, doi: https://doi.org/10.1109/asms/spsc64465.2025.10946054.
[18] H. Gupta, N. Srivastava, and L. Borman, “AI-Based Handover Decision Algorithm for Conditional Handover in Non-Terrestrial Networks (NTNs),” 2025 International Conference on Computing, Networking and Communications (ICNC), pp. 128–132, Feb. 2025, doi: https://doi.org/10.1109/icnc64010.2025.10994043.
[19] N. Badini, M. Jaber, M. Marchese, and F. Patrone, “Reinforcement Learning-Based Load Balancing Satellite Handover Using NS-3,” ICC 2022 - IEEE International Conference on Communications, pp. 2595–2600, May 2023, doi: https://doi.org/10.1109/icc45041.2023.10279521.
[20] B. Zhang, “Mitigating signalling storms in 5G,” M.Math. thesis, Dept. of Computer Science, University of Waterloo, Waterloo, ON, Canada, 2024. | ||
|
آمار تعداد مشاهده مقاله: 7 تعداد دریافت فایل اصل مقاله: 1 |
||