activity
20232026
most citedEnergy-Efficient Flat Precoding for MIMO Systems

2 citations · 3 across the 11 of their papers we have counts for

collaborators

12 papers

eess.IV2026

Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission

Matin Mortaheb, Homa Esfahanizadeh, Jinfeng Du +1

Emerging physical AI systems require low-latency, task-oriented video communication over unreliable channels. We propose a semantic-aware multi-level neural video coding method for…

cs.LG2026

UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures

Homa Esfahanizadeh, Matin Mortaheb, Jinfeng Du +2

Lossy compression is conventionally driven by a task-agnostic distortion (e.g., MSE or MS-SSIM), yet in many emerging applications the receiver cares not about uniform fidelity but…

eess.IV2026

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…

cs.IT2026

Lossy Joint Source-Channel Coding over Unknown Channels

Adeel Mahmood, Harish Viswanathan, Jinfeng Du

We analyze the performance of joint source-channel codes in an unknown-channel framework, where the true channel is unknown but the source distribution is known. We derive achievab…

cs.MM2026

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…

eess.SP2025★ 1 cited

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)…

eess.SP2025

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…

cs.IT2025★ 2 cited

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…

eess.SY2024

Analyzing the Scalability of Bi-static Backscatter Networks for Large Scale Applications

Kartik Patel, Junbo Zhang, John Kimionis +3

Backscatter radio is a promising technology for low-cost and low-power Internet-of-Things (IoT) networks. The conventional monostatic backscatter radio is constrained by its limite…

cs.IT2024

Multi-level Reliability Interface for Semantic Communications over Wireless Networks

Tze-Yang Tung, Homa Esfahanizadeh, Jinfeng Du +1

Semantic communication, when examined through the lens of joint source-channel coding (JSCC), maps source messages directly into channel input symbols, where the measure of success…

cs.IT2023

A generalization of the achievable rate of a MISO system using Bode-Fano wideband matching theory

Nitish Deshpande, Miguel R. Castellanos, Saeed R. Khosravirad +3

Impedance-matching networks affect power transfer from the radio frequency (RF) chains to the antennas. Their design impacts the signal to noise ratio (SNR) and the achievable rate…

cs.IT2023

Trade-Off Between Beamforming and Macro-Diversity Gains in Distributed mMIMO

Eduardo Noboro Tominaga, Hsuan-Jung Su, Jinfeng Du +3

Industry and academia have been working towards the evolution from Centralized massive Multiple-Input Multiple-Output (CmMIMO) to Distributed mMIMO (DmMIMO) architectures. Instead…