Search Results for author: Changsheng You

Found 15 papers, 0 papers with code

Multiuser Resource Allocation for Semantic-Relay-Aided Text Transmissions

no code implementations12 Nov 2023 Zeyang Hu, Tianyu Liu, Changsheng You, Zhaohui Yang, Mingzhe Chen

Thus, it has the great potential to improve the spectrum efficiency of conventional wireless systems with bit transmissions, especially in low signal-to-noise ratio (SNR) and small bandwidth regions.

SWIPT in Mixed Near- and Far-Field Channels: Joint Beam Scheduling and Power Allocation

no code implementations31 Oct 2023 Yunpu Zhang, Changsheng You

Extremely large-scale array (XL-array) has emerged as a promising technology to enhance the spectrum efficiency and spatial resolution in future wireless networks by exploiting massive number of antennas for generating pencil-like beamforming.

Scheduling

Base Station Beamforming Design for Near-field XL-IRS Beam Training

no code implementations12 Sep 2023 Tao Wang, Changsheng You, Changchuan Yin

However, this approach may cause degraded beam training performance in practice due to the near-field channel model of the BS-IRS link.

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

Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels

no code implementations17 Apr 2023 Yunpu Zhang, Changsheng You, Weijie Yuan, Fan Liu, Rui Zhang

Extremely large-scale array (XL-array) has emerged as a promising technology to enhance the spectrum efficiency and spatial resolution in future wireless networks, leading to a fundamental paradigm shift from conventional far-field communications towards the new near-field communications.

Scheduling

Intelligent Reflecting Surface Aided Wireless Sensing: Applications and Design Issues

no code implementations12 Feb 2023 Xiaodan Shao, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) is an emerging technology that is able to significantly improve the performance of wireless communications, by smartly tuning signal reflections at a large number of passive reflecting elements.

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.

Cramér-Rao Bounds of Near-Field Positioning Based on Electromagnetic Propagation Model

no code implementations2 Jul 2022 Ang Chen, Li Chen, Yunfei Chen, Changsheng You, Guo Wei, F. Richard Yu

In this paper, we improve the near-field positioning technology from the classical spherical wavefront model (SWM) to the more accurate and true electromagnetic propagation model (EPM).

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance

no code implementations22 Jan 2022 Xiaodan Shao, Changsheng You, Wenyan Ma, Xiaoming Chen, Rui Zhang

Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal's amplitude and/or phase via a large number of reflecting elements.

A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring

no code implementations28 Apr 2021 Abu Sufian, Changsheng You, Mianxiong Dong

In this article, we propose a transfer learning-based edge computing method for home health monitoring.

Edge-computing Transfer Learning

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

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

no code implementations2 Sep 2018 Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang

Accordingly, a new research area, called edge learning, emerges, which crosses and revolutionizes two disciplines: wireless communication and machine learning.

BIG-bench Machine Learning Edge-computing

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