Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Flor Ortiz,
Nicolas Skatchkovsky,
Eva Lagunas
et al.
Abstract:The latest Satellite Communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic. As pure optimization-based solutions have shown to be computationally tedious and to lack flexibility, Machine Learning (ML)-based methods have emerged as promising alternatives. We investigate the application of energy-efficient brain-inspired ML models for on-board radio resource ma… Show more
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