Adjacent Satellites Collaborative Beam Hopping–Based Interference Avoidance Technique for LEO Satellite System

ABSTRACT Low earth orbit (LEO) satellite communication system can achieve global coverage and has attracted widespread attention. However, the common demand for broadband satellite spectrum resources inevitably leads to cofrequency interference between LEO and geostationary orbit (GSO) satellite communication systems. To meet interference avoidance requirements while ensuring LEO system performance, this paper proposes an adjacent satellites collaborative beam hopping–based interference avoidance technique for GSO–LEO coexistence systems. First, the adaptive demand satisfaction ratio user grouping method is developed to accommodate the energy efficiency weight factor in resource efficiency (RE). Meanwhile, a residual demand priority adjacent satellites collaborative greedy user scheduling scheme is employed to enhance LEO system capacity while avoiding severe interference to GSO systems. Subsequently, a quadratic transformation–based convex optimization power allocation is proposed to further improve LEO system RE and reduce cofrequency interference. Finally, the above steps are alternately iterated timeslot by timeslot to obtain the local optimal user scheduling strategy and power allocation scheme over the beam‐hopping period. Simulation results validate that the proposed technique effectively mitigates interference while achieving optimal performance in multiple indicators including RE.

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Publication Details

Journal
International Journal of Satellite Communications and Networking
Published
2026-01-19
DOI
https://doi.org/10.1002/sat.70034
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
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article

Adjacent Satellites Collaborative Beam Hopping–Based Interference Avoidance Technique for LEO Satellite System

C. Y. Zhang, H. Li, Xingwei Jiang, Xiangyu Gan et al.
International Journal of Satellite Communications and Networking
Satellite Communication Systems
article

Adjacent Satellites Collaborative Beam Hopping–Based Interference Avoidance Technique for LEO Satellite System

C. Y. Zhang, H. Li, Xingwei Jiang, Xiangyu Gan, Guang Liang
article en

Abstract

ABSTRACT Low earth orbit (LEO) satellite communication system can achieve global coverage and has attracted widespread attention. However, the common demand for broadband satellite spectrum resources inevitably leads to cofrequency interference between LEO and geostationary orbit (GSO) satellite communication systems. To meet interference avoidance requirements while ensuring LEO system performance, this paper proposes an adjacent satellites collaborative beam hopping–based interference avoidance technique for GSO–LEO coexistence systems. First, the adaptive demand satisfaction ratio user grouping method is developed to accommodate the energy efficiency weight factor in resource efficiency (RE). Meanwhile, a residual demand priority adjacent satellites collaborative greedy user scheduling scheme is employed to enhance LEO system capacity while avoiding severe interference to GSO systems. Subsequently, a quadratic transformation–based convex optimization power allocation is proposed to further improve LEO system RE and reduce cofrequency interference. Finally, the above steps are alternately iterated timeslot by timeslot to obtain the local optimal user scheduling strategy and power allocation scheme over the beam‐hopping period. Simulation results validate that the proposed technique effectively mitigates interference while achieving optimal performance in multiple indicators including RE.

International Journal of Satellite Communications and Networking
Shanghai Micro Satellite Engineering Center (CN), University of Chinese Academy of Sciences (CN)
Decent work and economic growth
Openalex Percentile: Top 85%
Satellite Communication Systems
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Adjacent Satellites Collaborative Beam Hopping–Based Interference Avoidance Technique for LEO Satellite System — C. Y. Zhang, H. Li, et al. · International Journal of Satellite Communications and Networking (2026) | TGRS Research Map | TGRS