Deep Learning-based Compression and Disentangled Representation of Dual-Polarized Massive MIMO Channel State Information
The proposed DiReNet network effectively disentangles dual-polarized channel state information (CSI) into polarization-shared and polarization-specific representations, enabling efficient compression and recovery of CSI while reducing information redundancy.
