Efficient Preamble Detection for Intelligent Massive Random Access using Blind Normalized Stein Variational Gradient Descent

A novel blind normalized Stein variational gradient descent-based detector is proposed to efficiently detect preambles in intelligent massive random access, without requiring prior knowledge of noise power and the number of active devices.