Mega Constellation Networks are Reliable against Geographical Failure

Qiaolin Ouyang; Neng Ye; Sirui Miao; Bichen Kang; Aihua Wang; Lian Zhao

doi:10.1109/VTC2023-Fall60731.2023.10333419

Mega Constellation Networks are Reliable against Geographical Failure

Qiaolin Ouyang^*, Neng Ye, Sirui Miao, Bichen Kang, Aihua Wang, Lian Zhao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The reliability of low Earth orbit (LEO) mega constellation networks (MCNs) under large-scale geographical failure of satellites remains unrevealed. In this paper, we propose an algorithm to assess the connectivity, average latency and hop count by considering topology changes resulting from geographical failure, under different topology management. Numerical simulations are conducted based on the traffics source from end users distributed among the 100 most populous cities. The results show that the MCNs are generally reliable against geographical failure, as a geographical failure with a radius of 3000 km can at most disconnect 8% of the end users, while increasing the average hop count and latency of the remaining users by less than 10%. Also, topology reconfiguration after failure have a greater impact on the hop count than latency.

Original language	English
Title of host publication	2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350329285
DOIs	https://doi.org/10.1109/VTC2023-Fall60731.2023.10333419
Publication status	Published - 2023
Event	98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China Duration: 10 Oct 2023 → 13 Oct 2023

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Country/Territory	China
City	Hong Kong
Period	10/10/23 → 13/10/23

Keywords

Mega-constellation networks
geographical failure
network vulnerability
simulation

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10.1109/VTC2023-Fall60731.2023.10333419

Cite this

Ouyang, Q., Ye, N., Miao, S., Kang, B., Wang, A., & Zhao, L. (2023). Mega Constellation Networks are Reliable against Geographical Failure. In 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings (IEEE Vehicular Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333419

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title = "Mega Constellation Networks are Reliable against Geographical Failure",

abstract = "The reliability of low Earth orbit (LEO) mega constellation networks (MCNs) under large-scale geographical failure of satellites remains unrevealed. In this paper, we propose an algorithm to assess the connectivity, average latency and hop count by considering topology changes resulting from geographical failure, under different topology management. Numerical simulations are conducted based on the traffics source from end users distributed among the 100 most populous cities. The results show that the MCNs are generally reliable against geographical failure, as a geographical failure with a radius of 3000 km can at most disconnect 8% of the end users, while increasing the average hop count and latency of the remaining users by less than 10%. Also, topology reconfiguration after failure have a greater impact on the hop count than latency.",

keywords = "Mega-constellation networks, geographical failure, network vulnerability, simulation",

author = "Qiaolin Ouyang and Neng Ye and Sirui Miao and Bichen Kang and Aihua Wang and Lian Zhao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 98th IEEE Vehicular Technology Conference, VTC 2023-Fall ; Conference date: 10-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/VTC2023-Fall60731.2023.10333419",

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Ouyang, Q, Ye, N, Miao, S, Kang, B, Wang, A & Zhao, L 2023, Mega Constellation Networks are Reliable against Geographical Failure. in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc., 98th IEEE Vehicular Technology Conference, VTC 2023-Fall, Hong Kong, China, 10/10/23. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333419

Mega Constellation Networks are Reliable against Geographical Failure. / Ouyang, Qiaolin; Ye, Neng; Miao, Sirui et al.
2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Mega Constellation Networks are Reliable against Geographical Failure

AU - Ouyang, Qiaolin

AU - Ye, Neng

AU - Miao, Sirui

AU - Kang, Bichen

AU - Wang, Aihua

AU - Zhao, Lian

PY - 2023

Y1 - 2023

N2 - The reliability of low Earth orbit (LEO) mega constellation networks (MCNs) under large-scale geographical failure of satellites remains unrevealed. In this paper, we propose an algorithm to assess the connectivity, average latency and hop count by considering topology changes resulting from geographical failure, under different topology management. Numerical simulations are conducted based on the traffics source from end users distributed among the 100 most populous cities. The results show that the MCNs are generally reliable against geographical failure, as a geographical failure with a radius of 3000 km can at most disconnect 8% of the end users, while increasing the average hop count and latency of the remaining users by less than 10%. Also, topology reconfiguration after failure have a greater impact on the hop count than latency.

AB - The reliability of low Earth orbit (LEO) mega constellation networks (MCNs) under large-scale geographical failure of satellites remains unrevealed. In this paper, we propose an algorithm to assess the connectivity, average latency and hop count by considering topology changes resulting from geographical failure, under different topology management. Numerical simulations are conducted based on the traffics source from end users distributed among the 100 most populous cities. The results show that the MCNs are generally reliable against geographical failure, as a geographical failure with a radius of 3000 km can at most disconnect 8% of the end users, while increasing the average hop count and latency of the remaining users by less than 10%. Also, topology reconfiguration after failure have a greater impact on the hop count than latency.

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Mega Constellation Networks are Reliable against Geographical Failure

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