Coverage Analysis Under Multi-Altitude Orbits for Multi-layer Low Earth Orbit Satellite Constellations Using Stochastic Geometry

Low Earth Orbit (LEO) satellite communication systems can provide wide-coverage and low-latency communication services, making them suitable for global mobile communications, navigation positioning, military operations, remote sensing, and resource exploration, etc. Recently, LEO satellite constellation are gaining increasing attention, consequently facing with the challenge of scarcity of spectrum and space resources. As satellite frequency bands follow the principle of “first come, first served”, countries that started late in the satellite field are more eager to seize space resources. In this paper, we derive analytical model for the coverage probability under multi-altitude orbits for a multi-layer LEO satellite constellation based on stochastic geometry. The distribution of the satellite constellation along the latitude at different inclinations angles is non-homogeneous, we compensate for this phenomenon by calculating the effective number of satellites in the constellation. We then perform simulations of the VLEO (very low Earth orbit) constellation in the presence of interference from other satellite constellations, and the results provide insights into the selection of parameters such as constellation density, altitude range, inclination angle and minimum elevation angle which can help to launch the VLEO constellation more efficiently.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/pimrc59610.2024.10817309
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coverage Analysis Under Multi-Altitude Orbits for Multi-layer Low Earth Orbit Satellite Constellations Using Stochastic Geometry

Xiangming Wen, Zhaoming Lu, Jiyuan Ma, Zhiqun Hu et al.
Satellite Communication Systems
article

Coverage Analysis Under Multi-Altitude Orbits for Multi-layer Low Earth Orbit Satellite Constellations Using Stochastic Geometry

Xiangming Wen, Zhaoming Lu, Jiyuan Ma, Zhiqun Hu, Yujing Zhang
article en

Abstract

Low Earth Orbit (LEO) satellite communication systems can provide wide-coverage and low-latency communication services, making them suitable for global mobile communications, navigation positioning, military operations, remote sensing, and resource exploration, etc. Recently, LEO satellite constellation are gaining increasing attention, consequently facing with the challenge of scarcity of spectrum and space resources. As satellite frequency bands follow the principle of “first come, first served”, countries that started late in the satellite field are more eager to seize space resources. In this paper, we derive analytical model for the coverage probability under multi-altitude orbits for a multi-layer LEO satellite constellation based on stochastic geometry. The distribution of the satellite constellation along the latitude at different inclinations angles is non-homogeneous, we compensate for this phenomenon by calculating the effective number of satellites in the constellation. We then perform simulations of the VLEO (very low Earth orbit) constellation in the presence of interference from other satellite constellations, and the results provide insights into the selection of parameters such as constellation density, altitude range, inclination angle and minimum elevation angle which can help to launch the VLEO constellation more efficiently.

Beijing University of Posts and Telecommunications (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 58%
Satellite Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.