Explainable Reinforcement Learning and Lightweight LLM-Assisted Resource Allocation for 6G Networks: A Compact Review
The evolution of wireless communication toward sixth-generation (6G) networks has increased the complexity of resource allocation due to ultra-dense deployments, heterogeneous users, dynamic channel conditions, mobility, interference, and strict service-level requirements. Future 6G networks are expected to support ult...