Robust Joint Access Point Clustering and Beamforming Design with Imperfect Channel State Information in Cell-Free Systems

The core message of this article is to propose a computationally efficient unsupervised deep learning algorithm named Robust Joint AP Clustering and Beamforming Network (RJAPCBN) to achieve robust joint access point (AP) clustering and beamforming design with imperfect channel state information (CSI) in cell-free systems.