462 citations · 1k across the 23 of their papers we have counts for
23 papers
Trade-off for Secure UAV-ISCC Systems
Hongjiang Lei, Jun He, Congke Jiang +4
The integrated sensing, communication, and computing (ISCC) system overcomes the limitations of conventional standalone architectures. Through resource sharing and collaborative de…
A Joint Graph-Cut Channel Estimation Method for Multi-user Holographic MIMO
Jiaxin Zhang, Wenqian Shen, Kai Yang +2
To address the challenges of high-dimensional channel estimation and underutilized spatial correlations among users in holographic MIMO (HMIMO) systems, this paper proposes a joint…
AI Signal Processing Paradigm for Movable Antenna: From Spatial Position Optimization to Electromagnetic Reconfigurability
Yining Li, Ziwei Wan, Chongjia Sun +10
As 6G wireless communication systems evolve toward intelligence, high reconfigurability, and space-air-ground integration \cite{liu2025toward, liu2024near}, the limitations of trad…
Blind Channel Estimation for RIS-Assisted Millimeter Wave Communication Systems
Dianhao Jia, Wenqian Shen, Jianping An +1
In the research of RIS-assisted communication systems, channel estimation is a problem of vital importance for further performance optimization. In order to reduce the pilot overhe…
Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems
Xiaochun Ge, Wenqian Shen, Chengwen Xing +2
Training beam design for channel estimation with infinite-resolution and low-resolution phase shifters (PSs) in hybrid analog-digital milimeter wave (mmWave) massive multiple-input…
Multi-Carrier Faster-Than-Nyquist Signaling for OTFS Systems
Xueyang Wang, Shiqi Gong, Wenqian Shen +2
Orthogonal time frequency space (OTFS) modulation technique is promising for high-mobility applications to achieve reliable communications. However, the capacity of OTFS systems is…
Beamforming Design with Partial Channel Estimation and Feedback for FDD RIS-Assisted Systems
Xiaochun Ge, Shanping Yu, Wenqian Shen +2
Beamforming design with partial channel estimation and feedback for frequency-division duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in th…
Weighted Sum Rate Maximization of the mmWave Cell-Free MIMO Downlink Relying on Hybrid Precoding
Chenghao Feng, Wenqian Shen, Jianping An +1
The cell-free MIMO concept relying on hybrid precoding constitutes an innovative technique capable of dramatically increasing the network capacity of millimeter-wave (mmWave) commu…
Joint Hybrid and Passive RIS-Assisted Beamforming for MmWave MIMO Systems Relying on Dynamically Configured Subarrays
Chenghao Feng, Wenqian Shen, Jianping An +1
Reconfigurable intelligent surface (RIS) assisted millimeter-wave (mmWave) communication systems relying on hybrid beamforming structures are capable of achieving high spectral eff…
Wideband Channel Estimation for IRS-Aided Systems in the Face of Beam Squint
Siqi Ma, Wenqian Shen, Jianping An +1
Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impi…
Antenna Array Diagnosis for Millimeter-Wave MIMO Systems
Siqi Ma, Wenqian Shen, Jianping An +1
The densely packed antennas of millimeter-Wave (mmWave) MIMO systems are often blocked by the rain, snow, dust and even by fingers, which will change the channel's characteristics…
Passive Beamforming Design for Intelligent Reflecting Surface Assisted MIMO Systems
Chenghao Feng, Wenqian Shen, Xinyu Gao +1
Intelligent reflecting surfaces (IRSs) constitute passive devices, which are capable of adjusting the phase shifts of their reflected signals, and hence they are suitable for passi…
Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
Chenghao Feng, Wenqian Shen, Xinyu Gao +2
Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-ouput (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hard…
Beamspace Precoding and Beam Selection for Wideband Millimeter-Wave MIMO Relying on Lens Antenna Arrays
Wenqian Shen, Xiangyuan Bu, Xinyu Gao +2
Millimeter-wave (mmWave) multiple-input multiple-out (MIMO) systems relying on lens antenna arrays are capable of achieving a high antenna-gain at a considerably reduced number of…
Beam Selection for Wideband Millimeter Wave MIMO Relying on Lens Antenna Arrays
Chenghao Feng, Wenqian Shen, Jianping An
Beamspace multi-input multi-output (MIMO) relying on lens antenna arrays can significantly reduce the number of radio-frequency chains in millimeter-wave (mmWave) communication sys…
Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO
Wenqian Shen, Linglong Dai, Jianping An +2
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive MIMO is d…
Channel Feedback Based on AoD-Adaptive Subspace Codebook in FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Byonghyo Shim +2
Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. Unfortunately, previous work on multiuser MIMO has shown…
Codebook Design for Channel Feedback in Lens-Based Millimeter-Wave Massive MIMO Systems
Wenqian Shen, Linglong Dai, Yang Yang +2
The number of radio frequency (RF) chains can be reduced through beam selection in lens-based millimeter-wave (mmWave) massive MIMO systems, where the equivalent channel between RF…
On the Performance of Channel Statistics-Based Codebook for Massive MIMO
Wenqian Shen, Linglong Dai, Yu Zhang +1
The channel feedback overhead for massive MIMO systems with a large number of base station (BS) antennas is very high, since the number of feedback bits of traditional codebooks sc…
Joint Channel Training and Feedback for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Yi Shi +2
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance ga…
Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Byonghyo Shim +2
Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhe…
Compressive sensing based differential channel feedback for massive MIMO
Wenqian Shen, Linglong Dai, Yi Shi +2
Massive multiple-input multiple-output (MIMO) is becoming a key technology for future 5G wireless communications. Channel feedback for massive MIMO is challenging due to the substa…
Spatially correlated channel estimation based on block iterative support detection for large-scale MIMO
Wenqian Shen, Linglong Dai, Zhen Gao +1
Downlink channel estimation with low pilot overhead is an important and challenging problem in large-scale MIMO systems due to the substantially increased MIMO channel dimension. I…