QoS-Driven Satellite Constellation Design for LEO Satellite Internet of Things

Fuente: arXiv
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Autores principales: Ying, Ming, Chen, Xiaoming, Qi, Qiao, Zhang, Zhaoyang
Formato: Preprint
Publicado: 2025
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author Ying, Ming
Chen, Xiaoming
Qi, Qiao
Zhang, Zhaoyang
author_facet Ying, Ming
Chen, Xiaoming
Qi, Qiao
Zhang, Zhaoyang
contents Low Earth orbit (LEO) satellite Internet of Things (IoT) has been identified as one of the important components of the sixth-generation (6G) non-terrestrial networks (NTN) to provide ubiquitous connectivity. Due to the low orbit altitude and high mobility, a massive number of satellites are required to form a global continuous coverage constellation, leading to a high construction cost. To this end, this paper proposes a LEO satellite IoT constellation design algorithm with the goal of minimizing the total cost while satisfying quality of service (QoS) requirements in terms of coverage ratio and communication quality. Specifically, with a novel fitness function and efficient algorithm's operators, the proposed algorithm converges more quickly and achieves lower constellation construction cost compared to baseline algorithms under the same QoS requirements. Theoretical analysis proves the global and fast convergence of the proposed algorithm due to a novel fitness function. Finally, extensive simulation results confirm the effectiveness of the proposed algorithm in LEO satellite IoT constellation design.
format Preprint
id arxiv_https___arxiv_org_abs_2509_00345
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle QoS-Driven Satellite Constellation Design for LEO Satellite Internet of Things
Ying, Ming
Chen, Xiaoming
Qi, Qiao
Zhang, Zhaoyang
Information Theory
Low Earth orbit (LEO) satellite Internet of Things (IoT) has been identified as one of the important components of the sixth-generation (6G) non-terrestrial networks (NTN) to provide ubiquitous connectivity. Due to the low orbit altitude and high mobility, a massive number of satellites are required to form a global continuous coverage constellation, leading to a high construction cost. To this end, this paper proposes a LEO satellite IoT constellation design algorithm with the goal of minimizing the total cost while satisfying quality of service (QoS) requirements in terms of coverage ratio and communication quality. Specifically, with a novel fitness function and efficient algorithm's operators, the proposed algorithm converges more quickly and achieves lower constellation construction cost compared to baseline algorithms under the same QoS requirements. Theoretical analysis proves the global and fast convergence of the proposed algorithm due to a novel fitness function. Finally, extensive simulation results confirm the effectiveness of the proposed algorithm in LEO satellite IoT constellation design.
title QoS-Driven Satellite Constellation Design for LEO Satellite Internet of Things
topic Information Theory
url https://arxiv.org/abs/2509.00345