Explainable Reasoning in 6G Networks: A Proof-of-Concept Study on Optimizing Radio Resource Allocation

The core message of this paper is to introduce a novel graph reinforcement learning (GRL) framework named TANGO that leverages a symbolic subsystem to provide explainable and trustworthy radio resource allocation in 6G networks.