7 citations · 10 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
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…