Browsing by Subject "graph learning"
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DeepWiN: Deep Graph Reinforcement Learning for User-Centric Radio Access Networks Automation
(2023-12-15)The future cellular networks are expected to support an increasing number of users with heterogeneous applications, requiring varying network resources. Therefore, the 6G and beyond cellular networks need to be elastic, ...