Spot Beam Power Optimization for an Energy Efficient Multi-LEO Satellite Network

This paper proposes a spot beam power control method for downlink non-terrestrial networks consisting of multiple low Earth orbit (LEO) satellites. Each designated ground access point (GAP) is continuously served by a steering beam from LEO satellites during their visibility period. We address the global energy efficiency (GEE) maximization task to determine the optimal tradeoff between the sum-rate and total power consumption of LEO satellites. The GEE maximization problem is formulated by taking the inter-beam, inter-carrier, and terrestrial network interference into account. To ease the complexity of the problem, we further simplify the expressions of the GEE and interference and then propose a successive convex approximation (SCA)-based spot beam power optimization method. Numerical results validate its effectiveness over baseline algorithms in different system setups.

Authors

Publication Details

Journal
The Journal of Korean Institute of Communications and Information Sciences
Published
2025-11-24
DOI
https://doi.org/10.7840/kics.2025.50.11.1687
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
4.99
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article

Spot Beam Power Optimization for an Energy Efficient Multi-LEO Satellite Network

Jihwan Moon, Hoon Lee
1 citations
The Journal of Korean Institute of Communications and Information Sciences
Satellite Communication Systems
4.99
article

Spot Beam Power Optimization for an Energy Efficient Multi-LEO Satellite Network

Jihwan Moon, Hoon Lee
article en
1 citations

Abstract

This paper proposes a spot beam power control method for downlink non-terrestrial networks consisting of multiple low Earth orbit (LEO) satellites. Each designated ground access point (GAP) is continuously served by a steering beam from LEO satellites during their visibility period. We address the global energy efficiency (GEE) maximization task to determine the optimal tradeoff between the sum-rate and total power consumption of LEO satellites. The GEE maximization problem is formulated by taking the inter-beam, inter-carrier, and terrestrial network interference into account. To ease the complexity of the problem, we further simplify the expressions of the GEE and interference and then propose a successive convex approximation (SCA)-based spot beam power optimization method. Numerical results validate its effectiveness over baseline algorithms in different system setups.

The Journal of Korean Institute of Communications and Information SciencesVol. 50(11)
Openalex Percentile: Top 4%
Satellite Communication Systems
4.99
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