Search Results for author: Peilan Wang

Found 7 papers, 0 papers with code

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

no code implementations23 Jan 2023 Peilan Wang, Weidong Mei, Jun Fang, Rui Zhang

In this paper, we propose a new application of IRS for device-free target sensing via joint location and orientation estimation.

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

no code implementations4 Oct 2022 Xi Zheng, Jun Fang, Hongwei Wang, Peilan Wang, Hongbin Li

Also, by utilizing the singular value decomposition-like structure of the effective channel, this paper develops a joint active and passive beamforming method based on the estimated cascade channels.

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

no code implementations30 Mar 2022 Xi Zheng, Peilan Wang, Jun Fang, Hongbin Li

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

Tensor Decomposition

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

no code implementations25 Mar 2022 Peilan Wang, Jun Fang, Weizheng Zhang, Zhi Chen, Hongbin Li, Wei zhang

The deployment of RIS, however, complicates the system architecture and poses a significant challenge for beam training (BT)/ beam alignment (BA), a process that is required to establish a reliable link between the transmitter and the receiver.

Fast Beam Training and Alignment for IRS-Assisted Millimeter Wave/Terahertz Systems

no code implementations10 Mar 2021 Peilan Wang, Jun Fang, Wei zhang, Hongbin Li

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 capability of reshaping wireless transmission environments.

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

no code implementations17 Nov 2019 Peilan Wang, Jun Fang, Huiping Duan, Hongbin Li

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 transmission from the base station (BS) to a user.

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

no code implementations28 Aug 2019 Peilan Wang, Jun Fang, Xiaojun Yuan, Zhi Chen, Huiping Duan, Hongbin Li

In this framework, we study joint active and passive precoding design for IRS-assisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver.

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