This paper presents an energy-efficient downlink framework for single-satellite LEO systems, addressing chal- lenges from limited power and satellite mobility. A hybrid analog–digital beamforming (HBF) architecture with a fully connected phased array is proposed to reduce RF chain us- age while supporting multi-user coverage. The beamforming is optimized for energy efficiency under practical hardware constraints. A digital beamforming benchmark is first derived using fractional programming, followed by a hybrid algorithm based on alternating and manifold optimization with phase quantization. Simulations show notable energy gains over other schemes from the literature, confirming HBF’s promise for next- generation Non-Terrestrial Networks (NTN)
Precoding Algorithms for Single-Satellite LEO Communication Systems / Kong, Deyu; Taricco, Giorgio; Guo, Qing. - (2025). (Intervento presentato al convegno International Conference on Software, Telecommunications, and Computer Networks (SoftCOM 2025) tenutosi a Spalato (Cro) nel 18-20 settembre 2025).
Precoding Algorithms for Single-Satellite LEO Communication Systems
Giorgio Taricco;
2025
Abstract
This paper presents an energy-efficient downlink framework for single-satellite LEO systems, addressing chal- lenges from limited power and satellite mobility. A hybrid analog–digital beamforming (HBF) architecture with a fully connected phased array is proposed to reduce RF chain us- age while supporting multi-user coverage. The beamforming is optimized for energy efficiency under practical hardware constraints. A digital beamforming benchmark is first derived using fractional programming, followed by a hybrid algorithm based on alternating and manifold optimization with phase quantization. Simulations show notable energy gains over other schemes from the literature, confirming HBF’s promise for next- generation Non-Terrestrial Networks (NTN)File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3003291