Priority-aware Q-learning for uplink random access in NOMA-based mMTC networks
A priority-aware Q-learning-based uplink random access framework for non-orthogonal multiple access (NOMA)-based mMTC networks that incorporates service differentiation into the access process by introducing priority-aware resource reservation and a weighted reward design.