Conference PaperSoft-Output Joint Channel Estimation and Data Detection using Deep UnfoldingSong, Haochuan; You, Xiaohu; Zhang, Chuan; Studer, ChristophWe propose a novel soft-output joint channel estimation and data detection (JED) algorithm for multiuser (MU) multiple-input multiple-output (MIMO) wireless communication systems. Our algorithm approximately solves a maximum a-posteriori JED optimization problem using deep unfolding and generates soft-output information for the transmitted bits in every iteration. The parameters of the unfolded algorithm are computed by a hyper-network that is trained with a binary cross entropy (BCE) loss. We evaluate the performance of our algorithm in a coded MU-MIMO system with 8 basestation antennas and 4 user equipments and compare it to state-of-the-art algorithms separate channel estimation from soft-output data detection. Our results demonstrate that our JED algorithm outperforms such data detectors with as few as 10 iterations.2021-10-1710434371IEEE Information Theory Workshop (ITW)1 to 5https://doi.org/10.1109/ITW48936.2021.96114041717559National Science Foundation