4 papers
Channel Geometry Preserving Generative Models for CSI Feedback in MU-MIMO
Juseong Park, Taekyun Lee, Foad Sohrabi +1
Under limited feedback, channel state information (CSI) reconstruction for multiuser multiple-input multiple-output (MU-MIMO) precoding is challenging, since the precoder should pr…
Precoding-Oriented CSI Feedback Design with Mutual Information Regularized VQ-VAE
Xi Chen, Homa Esfahanizadeh, Foad Sohrabi
Efficient channel state information (CSI) compression at the user equipment plays a key role in enabling accurate channel reconstruction and precoder design in massive multiple-inp…
Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems
Juseong Park, Foad Sohrabi, Jinfeng Du +1
This paper introduces a novel deep learning-based user-side feedback reduction framework, termed self-nomination. The goal of self-nomination is to reduce the number of users (UEs)…
Energy-Efficient Flat Precoding for MIMO Systems
Foad Sohrabi, Carl Nuzman, Jinfeng Du +2
This paper addresses the suboptimal energy efficiency of conventional digital precoding schemes in multiple-input multiple-output (MIMO) systems. Through an analysis of the power a…