activity
20162022
most citedLinear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation

36 citations · 70 across the 9 of their papers we have counts for

collaborators
Showing eess.SPShow all

5 papers · 1 filter

eess.SP2022

Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks

Dawei Gao, Qinghua Guo, Guisheng Liao +4

In this paper, we investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in…

eess.SP2022

Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems

K. F. Masood, J. Tong, J. Xi +2

This paper studies the estimation of cascaded channels in passive intelligent reflective surface (IRS)- aided multiple-input multiple-output (MIMO) systems employing hybrid precode…

eess.SP2019★ 2 cited

On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels

Tianle Liu, Jun Tong, Qinghua Guo +3

This paper considers uplink massive multiple-input multiple-output (MIMO) systems with lowresolution analog-to-digital converters (ADCs) over Rician fading channels. Maximum-ratio-…

eess.SP2019

Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems

Rui Hu, Jun Tong, Jiangtao Xi +2

Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as a potential candidate for millimeter wave (mmWave) communications. Chann…

eess.SP2019★ 8 cited

Extreme Learning Machine Based Non-Iterative and Iterative Nonlinearity Mitigation for LED Communications

Dawei Gao, Qinghua Guo, Jun Tong +3

This work concerns receiver design for light emitting diode (LED) communications where the LED nonlinearity can severely degrade the performance of communications. We propose extre…