Holographic Metasurface-Based Beamforming for Multi-Altitude LEO Satellite Networks
Qingchao Li, Mohammed El-Hajjar, Kaijun Cao, Chao Xu, Harald Haas,, Lajos Hanzo

TL;DR
This paper introduces a hybrid beamforming approach using holographic metasurfaces for multi-altitude LEO satellite networks, enhancing throughput and interference mitigation with low complexity and considering mutual coupling effects.
Contribution
It proposes a novel low-complexity MMSE beamforming algorithm based on satellite distribution, improving interference mitigation and throughput in LEO satellite networks.
Findings
Outperforms state-of-the-art antenna arrays in throughput.
Achieves comparable performance to full CSI algorithms with less overhead.
Enhances beamforming by considering mutual coupling effects.
Abstract
Low Earth Orbit (LEO) satellite networks are capable of improving the global Internet service coverage. In this context, we propose a hybrid beamforming design for holographic metasurface based terrestrial users in multi-altitude LEO satellite networks. Firstly, the holographic beamformer is optimized by maximizing the downlink channel gain from the serving satellite to the terrestrial user. Then, the digital beamformer is designed by conceiving a minimum mean square error (MMSE) based detection algorithm for mitigating the interference arriving from other satellites. To dispense with excessive overhead of full channel state information (CSI) acquisition of all satellites, we propose a low-complexity MMSE beamforming algorithm that only relies on the distribution of the LEO satellite constellation harnessing stochastic geometry, which can achieve comparable throughput to that of the…
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Taxonomy
TopicsSatellite Communication Systems · Advanced Antenna and Metasurface Technologies · Antenna Design and Optimization
