activity
20142025
most citedTriple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO

20 citations · 46 across the 28 of their papers we have counts for

collaborators

11 papers

eess.SP20232 cited

Deep-Unfolding for Next-Generation Transceivers

Qiyu Hu, Yunlong Cai, Guangyi Zhang +2

The stringent performance requirements of future wireless networks, such as ultra-high data rates, extremely high reliability and low latency, are spurring worldwide studies on def…

eess.SP2023

Semantic Communication with Memory

Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li

While semantic communication succeeds in efficiently transmitting due to the strong capability to extract the essential semantic information, it is still far from the intelligent o…

eess.SP20233 cited

Semantic Communications with Variable-Length Coding for Extended Reality

Bowen Zhang, Zhijin Qin, Geoffrey Ye Li

Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requi…

cs.IT2022

Learn to Adapt to New Environment from Past Experience and Few Pilot

Ouya Wang, Jiabao Gao, Geoffrey Ye Li

In recent years, deep learning has been widely applied in communications and achieved remarkable performance improvement. Most of the existing works are based on data-driven deep l…

cs.IT2022

LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS

Boxiao Shen, Yongpeng Wu, Wenjun Zhang +3

This paper investigates joint channel estimation and device activity detection in the LEO satellite-enabled grant-free random access systems with large differential delay and Doppl…

cs.IT2022

Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO

Chenhao Qi, Qiang Liu, Xianghao Yu +1

A variable-phase-shifter (VPS) architecture with hybrid precoding for mixture use of phase shifters and switches, is proposed for millimeter wave massive multiple-input multiple-ou…