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20112022
most citedCompressed Channel Estimation and Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems

528 citations

58 papers

cs.LG2022★ 35 cited

Confederated Learning: Federated Learning with Decentralized Edge Servers

Bin Wang, Jun Fang, Hongbin Li +2

Federated learning (FL) is an emerging machine learning paradigm that allows to accomplish model training without aggregating data at a central server. Most studies on FL consider…

eess.SP2021★ 74 cited

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…

eess.SP2021★ 29 cited

Optimizing the Age of Information in RIS-aided SWIPT Networks

Wanting Lyu, Yue Xiu, Jun Zhao +1

In this letter, a reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) network is investigated. To quantify the freshness…

cs.IT2021★ 36 cited

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…

eess.SP2021★ 76 cited

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…

cs.IT2021★ 265 cited

Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications

Boyu Ning, Zhongbao Tian, Weidong Mei +5

Terahertz (THz) communications with a frequency band THz are envisioned as a promising solution to future high-speed wireless communication. Although with tens of gigahert…

cs.IT2021★ 27 cited

MIMO-OFDM-Based Massive Connectivity With Frequency Selectivity Compensation

Wenjun Jiang, Mingyang Yue, Xiaojun Yuan +1

In this paper, we study how to efficiently and reliably detect active devices and estimate their channels in a multiple-input multiple-output (MIMO) orthogonal frequency-division m…

eess.SP2021★ 1 cited

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…

cs.IT2021★ 284 cited

Delay-Phase Precoding for Wideband THz Massive MIMO

Linglong Dai, Jingbo Tan, H. Vincent Poor

Benefiting from tens of GHz bandwidth, terahertz (THz) communication is considered to be a promising technology to provide ultra-high speed data rates for future 6G wireless system…

cs.IT2020★ 213 cited

Joint Transceiver and Large Intelligent Surface Design for Massive MIMO MmWave Systems

Peilan Wang, Jun Fang, Linglong Dai +1

Large intelligent surface (LIS) has recently emerged as a potential low-cost solution to reshape the wireless propagation environment for improving the spectral efficiency. In this…

eess.SP2020★ 252 cited

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications

Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng +1

Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MC) systems. However, different from tradit…

eess.SP2020★ 8 cited

Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation,Phase Shifts, and Hybrid Beamforming Optimization

Yue Xiu, Jun Zhao, Wei Sun +4

In this paper, an reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) non-orthogonal multiple access (NOMA) system is considered. In particular, we consider an…

eess.SP2020★ 85 cited

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling

Meng Ding, Xiao Fu, Ting-Zhu Huang +2

This work revisits coupled tensor decomposition (CTD)-based hyperspectral super-resolution (HSR). HSR aims at fusing a pair of hyperspectral and multispectral images to recover a s…

eess.SP2020★ 48 cited

Secure Beamforming for Multiple Intelligent Reflecting Surfaces Aided mmWave Systems

Yue Xiu, Jun Zhao, Chau Yuen +2

In this letter, secure beamforming in a multiple intelligent reflecting surfaces (IRSs)-aided millimeter-wave (mmWave) system is investigated. In this system, the secrecy rate is m…

cs.IT2020★ 52 cited

Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry

Jiaqi Liu, Gang Wu, Xiaoxu Zhang +2

Massive machine-type communications (mMTC) is a crucial scenario to support booming Internet of Things (IoTs) applications. In mMTC, although a large number of devices are register…

eess.SP2020

Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks

Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor

In this paper, a novel reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) symbiotic radio (SR) system is proposed, in which an RIS, operating a…

cs.IT2020★ 10 cited

Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks

Yulan Gao, Chao Yong, Zehui Xiong +3

In this paper, the adoption of an intelligent reflecting surface (IRS) for multiple single-antenna source terminal (ST)-DT pairs in two-hop networks is investigated. Different from…

eess.SP2020★ 1 cited

Load Balanced Dynamic Resource Allocation for MTC Relay

Yifu Yang, Gang Wu, Weidang Lu +1

A Load Balancing Relay Algorithm (LBRA) was proposed to solve the unfair spectrum resource allocation in the traditional mobile MTC relay. In order to obtain reasonable use of spec…

cs.IT2019★ 21 cited

Terahertz Multi-User Massive MIMO with Intelligent Reflecting Surface: Beam Training and Hybrid Beamforming

Boyu Ning, Zhi Chen, Wenrong Chen +2

Terahertz (THz) communications open a new frontier for the wireless network thanks to their dramatically wider available bandwidth compared to the current micro-wave and forthcomin…

eess.SP2019★ 98 cited

Spectrum Cartography via Coupled Block-Term Tensor Decomposition

Guoyong Zhang, Xiao Fu, Jun Wang +2

Spectrum cartography aims at estimating power propagation patterns over a geographical region across multiple frequency bands (i.e., a radio map)---from limited samples taken spars…

eess.SP2019★ 528 cited

Compressed Channel Estimation and Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems

Peilan Wang, Jun Fang, Huiping Duan +1

In this paper, we consider channel estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) systems, where an IRS is deployed to assist the data transm…

cs.IT2019★ 5 cited

Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications

Boyu Ning, Zhi Chen, Wenrong Chen +1

Intelligent reflecting surface (IRS) is envisioned as a promising technology to broaden signal coverage and enhance transmission in terahertz (THz) communications. Due to the passi…

eess.SP2019★ 24 cited

Variance State Propagation for Structured Sparse Bayesian Learning

Mingchen Zhang, Xiaojun Yuan, Zhen-Qing He

We propose a compressed sensing algorithm termed variance state propagation (VSP) for block-sparse signals, i.e., sparse signals that have nonzero coefficients occurring in cluster…

stat.AP2019★ 13 cited

Outlier-Detection Based Robust Information Fusion for Networked Systems

Hongwei Wang, Hongbin Li, Wei Zhang +3

We consider state estimation for networked systems where measurements from sensor nodes are contaminated by outliers. A new hierarchical measurement model is formulated for outlier…