Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

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...

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Bibliographic Details
Main Authors: Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Energy-efficient
neuromorphic computing
radio resource management
satellite communication
spiking neural networks
Online Access:https://ieeexplore.ieee.org/document/10387580/
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https://ieeexplore.ieee.org/document/10387580/

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