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
20 papers · 2 filters
A Generic Receiver Architecture for MIMO Wireless Power Transfer with Non-Linear Energy Harvesting
Ganggang Ma, Jie Xu, Yong Zeng +1
This letter investigates a multiple-input multiple-output (MIMO) wireless power transfer (WPT) system under practical non-liner energy harvesting (EH) models. We propose a new gene…
Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results
Wankai Tang, Xiang Li, Jun Yan Dai +4
Metasurfaces have drawn significant attentions due to their superior capability in tailoring electromagnetic waves with a wide frequency range, from microwave to visible light. Rec…
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
Peiwen Jiang, Tianqi Wang, Bin Han +5
Orthogonal frequency division multiplexing (OFDM) has been widely applied in current communication systems. The artificial intelligence (AI)-aided OFDM receivers are currently brou…
Polar Decoding on Sparse Graphs with Deep Learning
Weihong Xu, Xiaohu You, Chuan Zhang +1
In this paper, we present a sparse neural network decoder (SNND) of polar codes based on belief propagation (BP) and deep learning. At first, the conventional factor graph of polar…
Low Complexity Iterative Detection for a Large-scale Distributed MIMO Prototyping System
Yuan Feng, Menghan Wang, Dongming Wang +1
In this paper, we study the low-complexity iterative soft-input soft-output (SISO) detection algorithm in a large-scale distributed multiple-input multiple-output (MIMO) system. Th…
ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers
Xuanxuan Gao, Shi Jin, Chao-Kai Wen +1
In this article, we propose a model-driven deep learning (DL) approach that combines DL with the expert knowledge to replace the existing orthogonal frequency-division multiplexing…
Omnidirectional Quasi-Orthogonal Space-Time Block Coded Massive MIMO Systems
Can Liu, Xiang-Gen Xia, Yongzhao Li +2
Common signals in public channels of cellular systems are usually transmitted omnidirectionally from the base station (BS). In recent years, both discrete and consecutive omnidirec…
Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs
Yucheng Wang, Wei Xu, Hua Zhang +1
In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision a…
AI for 5G: Research Directions and Paradigms
Xiaohu You, Chuan Zhang, Xiaosi Tan +2
The 5th wireless communication (5G) techniques not only fulfil the requirement of times increase of internet traffic in the next decade, but also offer the underlying techn…
Joint Neural Network Equalizer and Decoder
Weihong Xu, Zhiwei Zhong, Yair Be'ery +2
Recently, deep learning methods have shown significant improvements in communication systems. In this paper, we study the equalization problem over the nonlinear channel using neur…
Distributed and Multi-layer UAV Network for the Next-generation Wireless Communication
Yiming Huo, Xiaodai Dong, Tao Lu +2
Unmanned aerial vehicles (UAVs) for wireless communications has rapidly grown into a research hotspot as the mass production of high-performance, low-cost, intelligent UAVs become…
Efficient Channel Estimator with Angle-Division Multiple Access
Xiaozhen Liu, Jin Sha, Hongxiang Xie +5
Massive multiple-input multiple-output (M-MIMO) is an enabling technology of 5G wireless communication. The performance of an M-MIMO system is highly dependent on the speed and acc…
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network
Xiaosi Tan, Weihong Xu, Yair Be'ery +3
In this paper, deep neural network (DNN) is utilized to improve the belief propagation (BP) detection for massive multiple-input multiple-output (MIMO) systems. A neural network ar…
Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling
Peng Chen, Zhenxin Cao, Zhimin Chen +1
In the practical radar with multiple antennas, the antenna imperfections degrade the system performance. In this paper, the problem of estimating the direction of arrival (DOA) in…
Cellular and WiFi Co-design for 5G User Equipment
Yiming Huo, Xiaodai Dong, Wei Xu +1
Motivated by providing solutions to design challenges of coexisting cellular and WiFi for future 5G application scenarios, this paper, first, conducts an in-depth investigation of…
Segmented Successive Cancellation List Polar Decoding with Tailored CRC
Huayi Zhou, Xiao Liang, Liping Li +3
As the first error correction codes provably achieving the symmetric capacity of binary-input discrete memory-less channels (B-DMCs), polar codes have been recently chosen by 3GPP…
Time Varying Channel Tracking with Spatial and Temporal BEM for Massive MIMO Systems
Jianwei Zhao, Hongxiang Xie, Feifei Gao +3
In this paper, we propose a channel tracking method for massive multi-input and multi-output systems under both time-varying and spatial-varying circumstance. Exploiting the charac…
On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
Chuan Zhang, Xiao Liang, Zhizhen Wu +4
In massive MIMO (M-MIMO) systems, one of the key challenges in the implementation is the large-scale matrix inversion operation, as widely used in channel estimation, equalization,…
Residual-Based Detections and Unified Architecture for Massive MIMO Uplink
Chuan Zhang, Yufeng Yang, Shunqing Zhang +2
Massive multiple-input multiple-output (M-MIMO) technique brings better energy efficiency and coverage but higher computational complexity than small-scale MIMO. For linear detecti…
Implementation of Massive MIMO Uplink Receiver on RaPro Prototyping Platform
Xuanxuan Gao, Zhichao Huang, Xintong Lu +3
The updated physical layer standard of the fifth generation wireless communication suggests the necessity of a rapid prototyping platform. To this end, we develop RaPro, a multi-co…