activity
20132023
most citedDeep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedback

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023

Amplitude Prediction from Uplink to Downlink CSI against Receiver Distortion in FDD Systems

Chaojin Qing, Zilong Wang, Qing Ye +2

In frequency division duplex (FDD) massive multiple-input multiple-output (mMIMO) systems, the reciprocity mismatch caused by receiver distortion seriously degrades the amplitude p…

eess.SP2023

LoS sensing-based superimposed CSI feedback for UAV-Assisted mmWave systems

Chaojin Qing, Qing Ye, Wenhui Liu +3

In unmanned aerial vehicle (UAV)-assisted millimeter wave (mmWave) systems, channel state information (CSI) feedback is critical for the selection of modulation schemes, resource m…

cs.IT2022★ 7 cited

Deep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedback

Chaojin Qing, Qing Ye, Bin Cai +2

In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedba…

eess.SP2022★ 1 cited

Fusion Learning for 1-Bit CS-based Superimposed CSI Feedback with Bi-Directional Channel Reciprocity

Chaojin Qing, Qing Ye, Wenhui Liu +1

Due to the discarding of downlink channel state information (CSI) amplitude and the employing of iteration reconstruction algorithms, 1-bit compressed sensing (CS)-based superimpos…

cs.IT2013★ 1 cited

One-Bit Compressed Sensing by Greedy Algorithms

Wenhui Liu, Da Gong, Zhiqiang Xu

Sign truncated matching pursuit (STrMP) algorithm is presented in this paper. STrMP is a new greedy algorithm for the recovery of sparse signals from the sign measurement, which co…