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20182021
most citedOn the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels

2 citations · 4 across the 4 of their papers we have counts for

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eess.SP20212 cited

Cross-Validated Tuning of Shrinkage Factors for MVDR Beamforming Based on Regularized Covariance Matrix Estimation

Lei Xie, Zishu He, Jun Tong +2

This paper considers the regularized estimation of covariance matrices (CM) of high-dimensional (compound) Gaussian data for minimum variance distortionless response (MVDR) beamfor…

eess.SP20192 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

Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs

Jiang Zhu, Chao-kai Wen, Jun Tong +2

Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) sy…

eess.SP2019

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…