Graph Neural Network-Driven Deep Reinforcement Learning for Scalable RIS Allocation
A scalable framework combining Graph Neural Networks (GNNs) with Deep Reinforcement Learning (DRL) for dynamic shared RIS orchestration and introduces a physical topology sparsification strategy that prunes dense channel matrices into a sparse tripartite graph, improving global coverage probability while reducing compu...