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Continuous efforts have been devoted to integrate millimeter wave (mmWave) and terahertz (THz) bands into future communication standards in order to overcome the bandwidth shortage problem and achieve high data rates, primarily through…

信号处理 · 电气工程与系统科学 2026-03-05 Sung Hyuck Hong , Junil Choi

Reconfigurable intelligent surfaces (RISs) have attracted great attention as a potential beyond 5G technology. These surfaces consist of many passive elements of metamaterials whose impedance can be controllable to change the phase,…

信息论 · 计算机科学 2021-09-09 Özlem Tuğfe Demir , Emil Björnson

Intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter wave (mmWave) wireless communication, due to their ability to create favorable line-of-sight (LoS) propagation environments. In this paper, we…

信息论 · 计算机科学 2020-05-12 Tian Lin , Xianghao Yu , Yu Zhu , Robert Schober

In this paper, a channel estimation technique for reconfigurable intelligent surface (RIS)-aided multi-user multiple-input single-output communication systems is proposed. By deploying a small number of active elements at the RIS, the RIS…

信息论 · 计算机科学 2023-02-09 Gyoseung Lee , Hyeongtaek Lee , Jaeky Oh , Jaehoon Chung , Junil Choi

This paper presents a deep learning (DL) approach for estimating and detecting symbols in signals transmitted through reconfigurable intelligent surfaces (RIS). The proposed network utilizes fully connected layers to estimate channels and…

信号处理 · 电气工程与系统科学 2020-07-28 Saud Khan , Komal S Khan , Noman Haider , Soo Young Shin

Beyond diagonal reconfigurable intelligent surface (BD-RIS) refers to a family of RIS architectures characterized by scattering matrices not limited to being diagonal and enables higher wave manipulation flexibility and large performance…

信号处理 · 电气工程与系统科学 2025-04-16 Rui Wang , Shuowen Zhang , Bruno Clerckx , Liang Liu

Reconfigurable intelligent surface (RIS) is an important candidate technology for 6G. We provide an analysis of RIS-assisted MIMO communication in sparse channel typically found in the mmW or THz range. By exploring the sparse property, we…

信号处理 · 电气工程与系统科学 2023-10-13 Chenxi Zhu

Optical intelligent reflecting surface (OIRS) has attracted increasing attention due to its capability of overcoming signal blockages in visible light communication (VLC), an emerging technology for the next-generation advanced…

信息论 · 计算机科学 2024-04-24 Shiyuan Sun , Fang Yang , Weidong Mei , Jian Song , Zhu Han , Rui Zhang

Reconfigurable intelligent surface is a potential technology component of future wireless networks due to its capability of shaping the wireless environment. The promising MIMO systems in terms of extended coverage and enhanced capacity…

In this paper, we propose a three-stage unified channel estimation strategy for reconfigurable intelligent surface (RIS)-aided multi-user (MU) multiple-input multiple-output (MIMO) millimeter wave (mmWave) systems with the existence of the…

信号处理 · 电气工程与系统科学 2025-11-25 Taihao Zhang , Zhendong Peng , Cunhua Pan , Hong Ren , Jiangzhou Wang

This paper investigates the uplink cascaded channel estimation for intelligent-reflecting-surface (IRS)-assisted multi-user multiple-input-single-output systems. We focus on a sub-6 GHz scenario where the channel propagation is not sparse…

信号处理 · 电气工程与系统科学 2022-09-07 Huayan Guo , Vincent K. N. Lau

To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging…

信息论 · 计算机科学 2020-10-14 Beixiong Zheng , Changsheng You , Rui Zhang

Reconfigurable Intelligent Surfaces (RISs) are envisioned to play a key role in future wireless communications, enabling programmable radio propagation environments. They are usually considered as nearly passive planar structures that…

信号处理 · 电气工程与系统科学 2022-02-14 Haiyang Zhang , Nir Shlezinger , Idban Alamzadeh , George C. Alexandropoulos , Mohammadreza F. Imani , Yonina C. Eldar

In this paper, we utilize tools from stochastic geometry to estimate the interference propagation via reconfigurable intelligent surface (RIS) in the millimeter wave (mmWave, 30-300 GHz) band and specifically on the D band (110-170 GHz).…

信息论 · 计算机科学 2021-07-15 Joonas Kokkoniemi , Markku Juntti

Reconfigurable intelligent surfaces (RISs) consist of many passive elements of metamaterials whose impedance can be controllable to change the characteristics of wireless signals impinging on them. Channel estimation is a critical task when…

信息论 · 计算机科学 2023-09-14 Özlem Tuğfe Demir , Emil Björnson

This paper proposes a novel reconfigurable intelligent surface (RIS) architecture which enables channel estimation of RIS-assisted millimeter wave (mmWave) systems. More specifically, two channel estimation methods, namely, direct…

信息论 · 计算机科学 2020-08-20 Fangqing Jiang , Liang Yang , Daniel Benevides da Costa , Qingqing Wu

Reconfigurable intelligent surfaces (RIS) are capable of beneficially ameliorating the propagation environment by appropriately controlling the passive reflecting elements. To extend the coverage area, the concept of simultaneous…

This paper proposes a scalable channel estimation and reflection optimization framework for reconfigurable intelligent surface (RIS)-enhanced orthogonal frequency division multiplexing (OFDM) systems. Specifically, the proposed scheme…

信息论 · 计算机科学 2021-10-26 Jiancheng An , Qingqing Wu , Chau Yuen

The conventional direction-of-arrival (DoA) estimation approaches only be effective when the line-of-sight (LoS) link exists, while in the case of the non-line-of-sight (NLoS) situation, the spatial angle can not be captured and thus the…

信号处理 · 电气工程与系统科学 2023-11-09 Jiawen Yuan , Shaodan Ma , Gong Zhang , Henry Leung

Reconfigurable intelligent surfaces (RISs) have tremendous potential to boost communication performance, especially when the line-of-sight (LOS) path between the user equipment (UE) and base station (BS) is blocked. To control the RIS,…

信号处理 · 电气工程与系统科学 2023-11-21 Fan Jiang , Andrea Abrardo , Kamran Keykhoshravi , Henk Wymeersch , Davide Dardari , Marco Di Renzo