activity
20192026
most citedCompressed Channel Estimation and Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems

528 citations · 1.2k across the 13 of their papers we have counts for

collaborators

14 papers

eess.SP2026

Exploiting Beam Squint for Near-Field Wideband Beamforming in Multi-User OFDMA Systems

Lanqing Zhi, Peilan Wang, Jun Fang

The beam squint effect has traditionally been viewed as detrimental to near-field wideband beamforming due to the reduction of beamforming gain towards the desired direction. In th…

eess.SP2026

Zeroth-Order Blind Interference Suppression for Multi-RIS-Aided Wireless Systems

Binyao Ma, Peilan Wang, Bin Wang +1

In this paper, we study measurement-driven signal-to-interference-plus-noise ratio (SINR) maximization for a multi-reconfigurable intelligent surface (RIS)-aided single-input singl…

eess.SP2025

Derivative-Free Optimization-Empowered Wireless Channel Reconfiguration for 6G

Peilan Wang, Jun Fang, Xianlong Zeng +3

Reconfigurable antennas, including reconfigurable intelligent surface (RIS), movable antenna (MA), fluid antenna (FA), and other advanced antenna techniques, have been studied exte…

cs.IT2024★ 1 cited

Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems

Peilan Wang, Jun Fang, Xianlong Zeng +2

In this paper, we consider the problem of joint transceiver design for millimeter wave (mmWave)/Terahertz (THz) multi-user MIMO integrated sensing and communication (ISAC) systems.…

eess.SP2023★ 2 cited

Target-Mounted Intelligent Reflecting Surface for Joint Location and Orientation Estimation

Peilan Wang, Weidong Mei, Jun Fang +1

Intelligent reflecting surface (IRS) has been widely recognized as an efficient technique to reconfigure the electromagnetic environment in favor of wireless communication performa…

eess.SP2022★ 1 cited

Compressed CPD-Based Channel Estimation and Joint Beamforming for RIS-Assisted Millimeter Wave Communications

Xi Zheng, Jun Fang, Hongwei Wang +2

We consider the problem of channel estimation and joint active and passive beamforming for reconfigurable intelligent surface (RIS) assisted millimeter wave (mmWave) multiple-input…

eess.SP2022

Compressed Channel Estimation for IRS-Assisted Millimeter Wave OFDM Systems: A Low-Rank Tensor Decomposition-Based Approach

Xi Zheng, Peilan Wang, Jun Fang +1

We consider the problem of downlink channel estimation for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) orthogonal frequency division multiplexing (OFDM)…

eess.SP2022

Beam Training and Alignment for RIS-Assisted Millimeter Wave Systems:State of the Art and Beyond

Peilan Wang, Jun Fang, Weizheng Zhang +3

Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation…

cs.IT2021

Perceptive Mobile Network with Distributed Target Monitoring Terminals: Leaking Communication Energy for Sensing

Lei Xie, Peilan Wang, S. H. Song +1

Integrated sensing and communication (ISAC) creates a platform to exploit the synergy between two powerful functionalities that have been developing separately. However, the interf…

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.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.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…

eess.SP2019★ 24 cited

Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Communications

Peilan Wang, Jun Fang, Hongbin Li

Millimeter wave (mmWave) communications are evolving as a promising technology to meet the ever increasing data rate requirements. However, high directivity and severe path loss ma…

eess.SP2019★ 444 cited

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

Peilan Wang, Jun Fang, Xiaojun Yuan +3

Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, the severe path loss and high dire…