Keywords :
antennas; beamforming; multibeam satellite; supervised learning; Adaptive beam-forming; Digital divide; Emerging technologies; Global connectivity; Multibeam satellite; Multibeams; Real- time; Resource management; Satellite communications; Satellite communications system; Computer Networks and Communications; Modeling and Simulation; Instrumentation; Radiation
Abstract :
[en] Satellite communications (SatCom) are crucial for global connectivity, especially in the era of emerging technologies like 6G and narrowing the digital divide. Traditional SatCom systems struggle with efficient resource management due to static multibeam configurations, hindering quality of service (QoS) amidst dynamic traffic demands. This paper introduces an innovative solution - real-time adaptive beamforming on multibeam satellites with software-defined payloads in geostationary orbit (GEO). Utilizing a Direct Radiating Array (DRA) with circular polarization in the 17.7-20.2 GHz band, the paper outlines DRA design and a supervised learning-based algorithm for on-board beamforming. This adaptive approach not only meets precise beam projection needs but also dynamically adjusts beamwidth, minimizes sidelobe levels (SLL), and optimizes effective isotropic radiated power (EIRP).
Funding text :
This work was supported by the European Space Agency (ESA) funded under Contract No. 4000134522/21/NL/FGL named \u201CSatellite Signal Processing Techniques using a Commercial Off-The-Shelf AI Chipset (SPAICE)\u201D. Please note that the views of the authors of this paper do not necessarily reflect the views of the ESA. Furthermore, this work was partially supported by the Luxembourg National Research Fund (FNR) under the project SmartSpace (C21/IS/16193290).
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