activity
20192026
most citedDeep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison

9 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Low-Latency Generative Semantic Communication via Channel-Realization Flow Matching

Fan Gao, Youzheng Wang, Zhijin Qin +1

Generative semantic communication receivers deliver high perceptual quality but suffer from prohibitive decoding latency. This bottleneck arises because diffusion receivers rely on…

eess.SP2024

Electromagnetic Property Sensing Based on Diffusion Model in ISAC System

Yuhua Jiang, Feifei Gao, Shi Jin +1

Integrated sensing and communications (ISAC) has opened up numerous game-changing opportunities for future wireless systems. In this paper, we develop a novel ISAC scheme that util…

eess.SP2024

Electromagnetic Property Sensing in ISAC with Multiple Base Stations: Algorithm, Pilot Design, and Performance Analysis

Yuhua Jiang, Feifei Gao, Shi Jin +1

Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for future wireless systems. In this paper, we develop a novel scheme that utilizes o…

cs.IT2023★ 6 cited

A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems

Binggui Zhou, Xi Yang, Jintao Wang +3

Accurate channel state information (CSI) is essential for downlink precoding in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems with orthog…

eess.SP2019★ 9 cited

Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison

Hu Qiang, Gao Feifei, Zhang Hao +2

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless communication systems, especially under some imperfect environments. However, even with such…