Design and Analysis of Bayesian Joint Decoding for Massive Uncoupled Unsourced Random Access in 6G Wireless Networks

This paper proposes a high-efficiency and low-complexity Bayesian joint decoding algorithm for massive uncoupled unsourced random access in 6G wireless networks. The algorithm exploits Bayes-optimal divergence-free orthogonal approximate message passing for codeword detection and leverages channel statistics for codeword stitching, without requiring additional parity bits.