Search Results for author: Beixiong Zheng

Found 10 papers, 1 papers with code

Intelligent Reflecting Surface-Enabled Anti-Detection for Secure Sensing and Communications

no code implementations12 Apr 2024 Beixiong Zheng, Xue Xiong, Tiantian Ma, Jie Tang, Derrick Wing Kwan Ng, A. Lee Swindlehurst, Rui Zhang

The ever-increasing reliance on wireless communication and sensing has led to growing concerns over the vulnerability of sensitive information to unauthorized detection and interception.

A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy

no code implementations19 Mar 2024 Xue Xiong, Beixiong Zheng, A. Lee Swindlehurst, Jie Tang, Wen Wu

Electromagnetic wave absorbing material (EWAM) plays an essential role in manufacturing stealth aircraft, which can achieve the electromagnetic stealth (ES) by reducing the strength of the signal reflected back to the radar system.

Intelligent Reflecting Surface-Aided Electromagnetic Stealth Against Radar Detection

no code implementations4 Dec 2023 Beixiong Zheng, Xue Xiong, Jie Tang, Rui Zhang

While traditional electromagnetic stealth materials/metasurfaces can render a target virtually invisible to some extent, they lack flexibility and adaptability, and can only operate within a limited frequency and angle/direction range, making it challenging to ensure the expected stealth performance.

Near-Field Beam Management for Extremely Large-Scale Array Communications

no code implementations28 Jun 2023 Changsheng You, Yunpu Zhang, Chenyu Wu, Yong Zeng, Beixiong Zheng, Li Chen, Linglong Dai, A. Lee Swindlehurst

Extremely large-scale arrays (XL-arrays) have emerged as a promising technology to achieve super-high spectral efficiency and spatial resolution in future wireless systems.

Management Scheduling

Mixed Near- and Far-Field Communications for Extremely Large-Scale Array: An Interference Perspective

no code implementations18 Jan 2023 Yunpu Zhang, Changsheng You, Li Chen, Beixiong Zheng

For this scenario, we first obtain a closed-form expression for the inter-user interference at the near-field user caused by the far-field beam by using Fresnel functions, based on which the effects of the number of BS antennas, far-field user (FU) angle, near-field user (NU) angle and distance are analyzed.

Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm

1 code implementation19 Mar 2022 Peng Chen, Zhimin Chen, Beixiong Zheng, Xianbin Wang

Specifically, considering the position perturbation of UAVs, a new atomic norm-based DOA estimation method is proposed, where an atomic norm is defined with the parameter of the position perturbation.

Position

Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System

no code implementations30 Oct 2020 Beixiong Zheng, Changsheng You, Rui Zhang

To achieve the more significant passive beamforming gain in the double-intelligent reflecting surface (IRS) aided system over the conventional single-IRS counterpart, channel state information (CSI) is indispensable in practice but also more challenging to acquire, due to the presence of not only the single- but also double-reflection links that are intricately coupled and also entail more channel coefficients for estimation.

Information Theory Information Theory

Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design

no code implementations31 Aug 2020 Beixiong Zheng, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) has emerged as an enabling technology to achieve smart and reconfigurable wireless communication environment cost-effectively.

Information Theory Emerging Technologies Information Theory

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial

no code implementations6 Jul 2020 Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks.

Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design

no code implementations2 Mar 2020 Beixiong Zheng, Changsheng You, Rui Zhang

To achieve the full passive beamforming gains of intelligent reflecting surface (IRS), accurate channel state information (CSI) is indispensable but practically challenging to acquire, due to the excessive amount of channel parameters to be estimated which increases with the number of IRS reflecting elements as well as that of IRS-served users.

Information Theory Information Theory

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