35 citations · 107 across the 15 of their papers we have counts for
15 papers
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers
Xingyu Zhou, Jing Zhang, Chao-Kai Wen +2
Deep neural networks (NNs) are considered a powerful tool for balancing the performance and complexity of multiple-input multiple-output (MIMO) receivers due to their accurate feat…
Deterministic End-to-End Transmission to Optimize the Network Efficiency and Quality of Service: A Paradigm Shift in 6G
Xiaoyun Wang, Shuangfeng Han, Zhiming Liu +1
Toward end-to-end mobile service provision with optimized network efficiency and quality of service, tremendous efforts have been devoted in upgrading mobile applications, transpor…
Network Architecture Design toward Convergence of Mobile Applications and Networks
Shuangfeng Han, Zhiming Liu, Tao Sun +1
With the quick proliferation of extended reality (XR) services, the mobile communications networks are faced with gigantic challenges to meet the diversified and challenging servic…
Multi-task Learning-based CSI Feedback Design in Multiple Scenarios
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +3
For frequency division duplex systems, the essential downlink channel state information (CSI) feedback includes the links of compression, feedback, decompression and reconstruction…
Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications
Chen Hu, Linglong Dai
Channel estimation is challenging for the reconfigurable intelligent surface (RIS)-aided wireless communications. Since the number of coefficients of the cascaded channel among the…
Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks
Yan Chen, Alireza Bayesteh, Yiqun Wu +13
Non-orthogonal multiple access (NoMA) as an efficient way of radio resource sharing can root back to the network information theory. For generations of wireless communication syste…
Compressive Sensing Techniques for Next-Generation Wireless Communications
Zhen Gao, Linglong Dai, Shuangfeng Han +3
A range of efficient wireless processes and enabling techniques are put under a magnifier glass in the quest for exploring different manifestations of correlated processes, where s…
Machine Learning Inspired Energy-Efficient Hybrid Precoding for MmWave Massive MIMO Systems
Xinyu Gao, Linglong Dai, Ying Sun +2
Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performa…
Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
Millimeter-wave massive MIMO with lens antenna array can considerably reduce the number of required radio-frequency (RF) chains by beam selection. However, beam selection requires…
Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Linglong Dai, Xinyu Gao, Shuangfeng Han +2
By employing the lens antenna array, beamspace MIMO can utilize beam selection to reduce the number of required RF chains in mmWave massive MIMO systems without obvious performance…
Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems
Linglong Dai, Xinyu Gao, Jinguo Quan +2
Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in spectral and energy efficiency, and it usually exploits the hybrid analog and digital precoding to…
Energy-Efficient Hybrid Analog and Digital Precoding for mmWave MIMO Systems with Large Antenna Arrays
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
Millimeter wave (mmWave) MIMO will likely use hybrid analog and digital precoding, which uses a small number of RF chains to avoid energy consumption associated with mixed signal c…
Near-Optimal Linear Precoding with Low Complexity for Massive MIMO
Linglong Dai, Xinyu Gao, Shuangfeng Han +2
Linear precoding techniques can achieve near- optimal capacity due to the special channel property in down- link massive MIMO systems, but involve high complexity since complicated…
Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems
Linglong Dai, Xinyu Gao, Xin Su +3
For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is near-optimal but involves matrix inversion with high complexity. In this paper, we propose to exp…
Full Duplex Networking: Mission Impossible?
Shuangfeng Han, Chih-Lin I, Linglong Dai +2
Mobile traffic is projected to increase 1000 times from 2010 to 2020. This poses significant challenges on the 5th generation (5G) wireless communication system design, including n…