36 citations · 70 across the 9 of their papers we have counts for
9 papers
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…
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…
Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications
Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +4
This paper considers a challenging scenario of machine type communications, where we assume internet of things (IoT) devices send short packets sporadically to an access point (AP)…
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-…
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…
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…
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Jun Tong, Rui Hu, Jiangtao Xi +3
Shrinkage can effectively improve the condition number and accuracy of covariance matrix estimation, especially for low-sample-support applications with the number of training samp…
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Rui Hu, Jun Tong, Jiangtao Xi +2
Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications.…
Low-Complexity and Basis-Free Channel Estimation for Switch-Based mmWave MIMO Systems via Matrix Completion
Rui Hu, Jun Tong, Jiangtao Xi +2
Recently, a switch-based hybrid massive MIMO structure that aims to reduce the hardware complexity and power consumption has been proposed as a potential candidate for millimeter w…