528 citations · 2.2k across the 40 of their papers we have counts for
40 papers
Compressed Channel Estimation for IRS-Assisted Millimeter Wave OFDM Systems: A Low-Rank Tensor Decomposition-Based Approach
Xi Zheng, Peilan Wang, Jun Fang +1
We consider the problem of downlink channel estimation for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) orthogonal frequency division multiplexing (OFDM)…
A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
Qian Wan, Jun Fang, Yinsen Huang +2
The great success of deep learning (DL) has inspired researchers to develop more accurate and efficient symbol detectors for multi-input multi-output (MIMO) systems. Existing DL-ba…
Joint Active and Passive Beamforming for IRS-Assisted Radar
Fangzhou Wang, Hongbin Li, Jun Fang
Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal propagation. This paper cons…
Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing
Jun Fang, Bin Wang, Hongbin Li +1
Cognitive radio (CR) is a promising technology enabling efficient utilization of the spectrum resource for future wireless systems. As future CR networks are envisioned to operate…
Fast Beam Training and Alignment for IRS-Assisted Millimeter Wave/Terahertz Systems
Peilan Wang, Jun Fang, Wei Zhang +1
Intelligent reflecting surface (IRS) has emerged as a competitive solution to address blockage issues in millimeter wave (mmWave) and Terahertz (THz) communications due to its capa…
Signal Detection in Distributed MIMO Radar with Non-Orthogonal Waveforms and Sync Errors
Hongbin Li, Fangzhou Wang, Cengcang Zeng +1
Although routinely utilized in literature, orthogonal waveforms may lose orthogonality in distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) a…