activity
20212023
most citedDeep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedback

7 citations · 17 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2023

Improved Label Design for Timing Synchronization in OFDM Systems against Multi-path Uncertainty

Chaojin Qing, Shuhai Tang, Na Yang +2

Timing synchronization (TS) is vital for orthogonal frequency division multiplexing (OFDM) systems, which makes the discrete Fourier transform (DFT) window start at the inter-symbo…

eess.SP2023

Metric Learning-Based Timing Synchronization by Using Lightweight Neural Network

Chaojin Qing, Na Yang, Shuhai Tang +3

Timing synchronization (TS) is one of the key tasks in orthogonal frequency division multiplexing (OFDM) systems. However, multi-path uncertainty corrupts the TS correctness, makin…

eess.SP2023

ELM-based Timing Synchronization for OFDM Systems by Exploiting Computer-aided Training Strategy

Mintao Zhang, Shuhai Tang, Chaojin Qing +3

Due to the implementation bottleneck of training data collection in realistic wireless communications systems, supervised learning-based timing synchronization (TS) is challenged b…

eess.SP2023

Cascaded ELM-based Joint Frame Synchronization and Channel Estimation over Rician Fading Channel with Hardware Imperfections

Chaojin Qing, Chuangui Rao, Shuhai Tang +2

Due to the interdependency of frame synchronization (FS) and channel estimation (CE), joint FS and CE (JFSCE) schemes are proposed to enhance their functionalities and therefore bo…

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…

eess.SP2022

Superimposed Pilot-based Channel Estimation for RIS-Assisted IoT Systems Using Lightweight Networks

Chaojin Qing, Li Wang, Lei Dong +2

Conventional channel estimation (CE) for Internet of Things (IoT) systems encounters challenges such as low spectral efficiency, high energy consumption, and blocked propagation pa…

eess.SP2022

CNN-based Timing Synchronization for OFDM Systems Assisted by Initial Path Acquisition in Frequency Selective Fading Channel

Chaojin Qing, Na Yang, Shuhai Tang +3

Multi-path fading seriously affects the accuracy of timing synchronization (TS) in orthogonal frequency division multiplexing (OFDM) systems. To tackle this issue, we propose a con…

eess.SP2022

Lightweight 1-D CNN-based Timing Synchronization for OFDM Systems with CIR Uncertainty

Chaojin Qing, Shuhai Tang, Xi Cai +1

In this letter, a lightweight one-dimensional convolutional neural network (1-D CNN)-based timing synchronization (TS) method is proposed to reduce the computational complexity and…

eess.SP2022★ 7 cited

Transfer Learning-based Channel Estimation in Orthogonal Frequency Division Multiplexing Systems Using Data-nulling Superimposed Pilots

Chaojin Qing, Lei Dong, Li Wang +2

Data-nulling superimposed pilot (DNSP) effectively alleviates the superimposed interference of superimposed training (ST)-based channel estimation (CE) in orthogonal frequency divi…

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…

eess.SP2021

Joint Model and Data Driven Receiver Design for Data-Dependent Superimposed Training Scheme with Imperfect Hardware

Chaojin Qing, Lei Dong, Li Wang +2

Data-dependent superimposed training (DDST) scheme has shown the potential to achieve high bandwidth efficiency, while encounters symbol misidentification caused by hardware imperf…

eess.SP2021★ 1 cited

Enhanced ELM Based Channel Estimation for RIS-Assisted OFDM systems with Insufficient CP and Imperfect Hardware

Chaojin Qing, Li Wang, Lei Dong +1

Reconfigurable intelligent surface (RIS)-assisted orthogonal frequency division multiplexing (OFDM) systems have aroused extensive research interests due to the controllable commun…

eess.SP2021

Label Design-based ELM Network for Timing Synchronization in OFDM Systems with Nonlinear Distortion

Chaojin Qing, Shuhai Tang, Chuangui Rao +3

Due to the nonlinear distortion in Orthogonal frequency division multiplexing (OFDM) systems, the timing synchronization (TS) performance is inevitably degraded at the receiver. To…

eess.SP2021★ 1 cited

ELM-based Frame Synchronization in Nonlinear Distortion Scenario Using Superimposed Training

Chaojin Qing, Wang Yu, Shuhai Tang +2

The requirement of high spectrum efficiency puts forward higher requirements on frame synchronization (FS) in wireless communication systems. Meanwhile, a large number of nonlinear…