most citedHybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

Integrated Location Sensing and Communication for Ultra-Massive MIMO With Hybrid-Field Beam-Squint Effect

Zhen Gao, Xingyu Zhou, Boyu Ning +3

The advent of ultra-massive multiple-input-multiple output systems holds great promise for next-generation communications, yet their channels exhibit hybrid far- and near- field be…

cs.IT2024

Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain

Keke Ying, Zhen Gao, Yu Su +3

Reconfigurable massive multiple-input multiple-output (RmMIMO), as an electronically-controlled fluid antenna system, offers increased flexibility for future communication systems…

cs.IT2024

Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems under Hybrid Field Beam Squint Effect

Kuiyu Wang, Zhen Gao, Sheng Chen +5

Acquiring accurate channel state information (CSI) at an access point (AP) is challenging for wideband millimeter wave (mmWave) ultra-massive multiple-input and multiple-output (UM…

cs.CL2023

Transformer-based Joint Source Channel Coding for Textual Semantic Communication

Shicong Liu, Zhen Gao, Gaojie Chen +2

The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming. In this paper, we propose a textual semantic transmission fram…

eess.SP2023★ 3 cited

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Zhen Gao, Shicong Liu, Yu Su +2

This paper focuses on advancing outdoor wireless systems to better support ubiquitous extended reality (XR) applications, and close the gap with current indoor wireless transmissio…