1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing UniversityCN486 papers
- University of Science and Technology of ChinaCN408 papers
- Tsinghua UniversityCN404 papers
- Peking UniversityCN401 papers
- Shanghai Jiao Tong UniversityCN383 papers
- Zhejiang UniversityCN380 papers
- University of Chinese Academy of SciencesCN369 papers
- Sun Yat-sen UniversityCN366 papers
- Institute of High Energy PhysicsCN364 papers
- Lanzhou UniversityCN358 papers
- Nanjing Normal UniversityCN358 papers
- Zhengzhou UniversityCN353 papers
21 papers · 2 filters
An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems
Cunhua Pan, Gui Zhou, Kangda Zhi +8
In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal qual…
Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems
Boyu Teng, Xiaojun Yuan, Rui Wang +1
In this paper, we study the user localization and tracking problem in the reconfigurable intelligent surface (RIS) aided multiple-input multiple-output (MIMO) system, where a multi…
High-Resolution Programmable Scattering for Wireless Coverage Enhancement: An Indoor Field Trial Campaign
James Rains, Jalil ur Rehman Kazim, Anvar Tukmanov +4
This paper presents a multi-bit reconfigurable intelligent surface (RIS) with a high phase resolution, capable of beam-steering in the azimuthal plane at sub-6 Gigahertz (GHz). Fie…
Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization
Chen Huang, Ruisi He, Bo Ai +8
To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artific…
Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
Gui Zhou, Cunhua Pan, Hong Ren +2
Channel estimation in the RIS-aided massive multiuser multiple-input single-output (MU-MISO) wireless communication systems is challenging due to the passive feature of RIS and the…
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?
Shicong Liu, Zhen Gao, Yongpeng Wu +5
The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises. However, conventional terrestri…
ICINet: ICI-Aware Neural Network Based Channel Estimation for Rapidly Time-Varying OFDM Systems
Yi Sun, Hong Shen, Zhenguo Du +2
A novel intercarrier interference (ICI)-aware orthogonal frequency division multiplexing (OFDM) channel estimation network ICINet is presented for rapidly time-varying channels. IC…
Enabling Full Mutualism for Symbiotic Radio with Massive Backscatter Devices
Jingran Xu, Zhuoyin Dai, Yong Zeng
Symbiotic radio is a promising technology to achieve spectrum- and energy-efficient wireless communications, where the secondary backscatter device (BD) leverages not only the spec…
Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Recently, semantic communication has been brought to the forefront because of its great success in deep learning (DL), especially Transformer. Even if semantic communication has be…
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Muhan Chen, Jiajia Guo, Chao-Kai Wen +3
Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI…
A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces with Practical Phase Shifts
Yingzhuo Sun, Cheng-Xiang Wang, Jie Huang +1
In this paper, a three-dimensional (3D) geometry based stochastic model (GBSM) for a massive multiple-input multiple-output (MIMO) communication system employing practical discrete…
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
This article aims to reduce huge pilot overhead when estimating the reconfigurable intelligent surface (RIS) relayed wireless channel. Motivated by the compelling grasp of deep lea…
A General 3D Space-Time-Frequency Non-Stationary THz Channel Model for 6G Ultra-Massive MIMO Wireless Communication Systems
Jun Wang, Cheng-Xiang Wang, Jie Huang +2
In this paper, a novel three-dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) is proposed for the sixth generation (6G) terahertz (…
Map-based Channel Modeling and Generation for U2V mmWave Communication
Qiuming Zhu, Kai Mao, Maozhong Song +4
Unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) technologies have a promising prospect in the future communication networks. By considering the factors of three-dimens…
Rank Minimization-based Toeplitz Reconstruction for DoA Estimation Using Coprime Array
Shengheng Liu, Zihuan Mao, Yimin D. Zhang +1
In this paper, we address the problem of direction finding using coprime array, which is one of the most preferred sparse array configurations. Motivated by the fact that non-unifo…
Environment-Aware and Training-Free Beam Alignment for mmWave Massive MIMO via Channel Knowledge Map
Di Wu, Yong Zeng, Shi jin +1
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communication system is expected to achieve enormous transmission rate, provided that the transmit and receiv…
A 3D Non-stationary MmWave Channel Model for Vacuum Tube Ultra-High-Speed Train Channels
Yingjie Xu, Kai Yu, Li Li +3
As a potential development direction of future transportation, the vacuum tube ultra-high-speed train (UHST) wireless communication systems have newly different channel characteris…
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning
Qisheng Wang, Xiao Li, Shi Jin +1
In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) sy…
A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond
Ji Bian, Cheng-Xiang Wang, Xiqi Gao +2
In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed. The propo…
A General 3D Non-Stationary Massive MIMO GBSM for 6G Communication Systems
Yi Zheng, Long Yu, Runruo Yang +1
A general three-dimensional (3D) non-stationary massive multiple-input multiple-output (MIMO) geometry-based stochastic model (GBSM) for the sixth generation (6G) communication sys…
Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band
Wankai Tang, Xiangyu Chen, Ming Zheng Chen +6
Reconfigurable intelligent surfaces (RISs) provide an interface between the electromagnetic world of wireless propagation environments and the digital world of information science.…