Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …
next-generation wireless systems. This led to a large body of research work that applies ML …
Continual Deep Reinforcement Learning for Decentralized Satellite Routing
This paper introduces a full solution for decentralized routing in Low Earth Orbit satellite
constellations based on continual Deep Reinforcement Learning (DRL). This requires …
constellations based on continual Deep Reinforcement Learning (DRL). This requires …
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
Deep learning has been extensively used in wireless communication problems, including
channel estimation. Although several data-driven approaches exist, a fair and realistic …
channel estimation. Although several data-driven approaches exist, a fair and realistic …