7 papers
Towards Robust Semantic Video Transmission over Block Erasure Channels
Nargis Fayaz, Homa Esfahanizadeh, Matin Mortaheb +2
This paper investigates semantic-aware neural joint source-channel coding (JSCC) for robust video transmission over block erasure channels. We propose a neural video compression fr…
Finite-Blocklength Lossy Joint Source-Channel Coding over Unknown Channels
Adeel Mahmood, Harish Viswanathan, Jinfeng Du
We analyze the finite-blocklength performance of lossy joint source-channel codes (JSCC) in an unknown-channel framework, where the true channel is unknown but the source distribut…
Block Erasure-Aware Semantic Multimedia Compression via JSCC Autoencoder
Homa Esfahanizadeh, Nargis Fayaz, Jinfeng Du +1
We present an AI-based framework for semantic transmission of multimedia data over band-limited, time-varying channels. The method targets scenarios where large content is split in…
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)…
Beamforming with hybrid reconfigurable parasitic antenna arrays
Nitish Vikas Deshpande, Miguel Rodrigo Castellanos, Saeed R. Khosravirad +3
A parasitic reconfigurable antenna array is a low-power approach for beamforming using passive tunable elements. Prior work on reconfigurable antennas in communication theory is ba…
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…