Data-Aided Active User Detection With False Alarm Correction in Grant-Free Transmission

In most existing grant-free (GF) studies, the two key tasks, namely active user detection (AUD) and payload data decoding, are handled separately. this letter, a two-step data-aided AUD scheme is proposed, initial step false alarm correction respectively. To implement step, an embedded low-density-signature (LDS) based preamble pool constructed. addition, message passing algorithm (MPA) estimators developed. redundant factor graph constructed on set, which MPA employed for decoding. The remaining detected inactive users will be further by corrector with aid of decoded symbols. Simulation results reveal that both decoding performance significantly enhanced more than 1.5 dB at target accuracy $10^{-3}$ compared traditional compressed sensing (CS) counterparts.