Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO Satellite Communications
Jing Wang, Chenhao Qi, Shui Yu, Shiwen Mao

TL;DR
This paper proposes joint beamforming and illumination pattern design methods for beam-hopping LEO satellite communications, achieving high sum-rate performance with reduced hardware complexity through hybrid beamforming techniques.
Contribution
It introduces novel optimization schemes for hybrid beamforming and illumination patterns in beam-hopping LEO SatComs, addressing non-convex constraints with efficient algorithms.
Findings
Proposed schemes achieve satisfactory sum-rate performance.
Hybrid beamforming approaches reduce hardware complexity.
Optimization algorithms effectively handle non-convex constraints.
Abstract
Since hybrid beamforming (HBF) can approach the performance of fully-digital beamforming (FDBF) with much lower hardware complexity, we investigate the HBF design for beam-hopping (BH) low earth orbit (LEO) satellite communications (SatComs). Aiming at maximizing the sum-rate of totally illuminated beam positions during the whole BH period, we consider joint beamforming and illumination pattern design subject to the HBF constraints and sum-rate requirements. To address the non-convexity of the HBF constraints, we temporarily replace the HBF constraints with the FDBF constraints. Then we propose an FDBF and illumination pattern random search (FDBF-IPRS) scheme to optimize illumination patterns and fully-digital beamformers using constrained random search and fractional programming methods. To further reduce the computational complexity, we propose an FDBF and illumination pattern…
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Taxonomy
TopicsSatellite Communication Systems · Antenna Design and Optimization · Optical Wireless Communication Technologies
