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Reconfigurable intelligent surfaces (RIS) have recently received significant attention as building blocks for smart radio environments and adaptable wireless channels. By altering the space- and time-varying electromagnetic (EM) properties,…

应用物理 · 物理学 2021-01-25 John A. Hodge , Kumar Vijay Mishra , Amir I. Zaghloul

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems. These…

Intelligent reflecting surface (IRS) has emerged as a promising technology to realize smart radio environment for future wireless communication systems. Existing works in this line of research have mainly considered the conventional passive…

信息论 · 计算机科学 2023-06-27 Zhenyu Kang , Changsheng You , Rui Zhang

Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the fabrication of programmable meta-material, has been speculated as one of the key enabling technologies for the future six generation (6G)…

信息论 · 计算机科学 2022-06-23 Chongwen Huang , Ronghong Mo , Chau Yuen

As a recently proposed idea for future wireless systems, intelligent reflecting surface (IRS) can assist communications between entities which do not have high-quality direct channels in between. Specifically, an IRS comprises many low-cost…

信息论 · 计算机科学 2020-01-29 Huimei Han , Jun Zhao , Dusit Niyato , Marco Di Renzo , Quoc-Viet Pham

Beamforming design for intelligent reflecting surface (IRS)-assisted multi-user communication (IRS-MUC) systems critically depends on the acquisition of accurate channel state information (CSI). However, channel estimation (CE) in IRS-MUC…

信号处理 · 电气工程与系统科学 2022-11-24 Chang Liu , Xuemeng Liu , Zhiqiang Wei , Derrick Wing Kwan Ng , Robert Schober

Intelligent reflecting surface (IRS) is an emerging technology to enhance the spectral and energy efficiency of wireless communications cost-effectively. This letter considers a new multi-IRS aided wireless network where a cascaded…

信息论 · 计算机科学 2021-08-12 Weidong Mei , Rui Zhang

Channel estimation is a critical task in intelligent reflecting surface (IRS)-assisted wireless systems due to the uncertainties imposed by environment dynamics and rapid changes in the IRS configuration. To deal with these uncertainties,…

信号处理 · 电气工程与系统科学 2022-08-10 Ahmet M. Elbir , Sinem Coleri , Kumar Vijay Mishra

Intelligent reflecting surface (IRS) is a promising technology for enhancing wireless communication systems. It adaptively configures massive passive reflecting elements to control wireless channel in a desirable way. Due to hardware…

系统与控制 · 电气工程与系统科学 2021-11-04 Rui Sun , Weidong Wang , Li Chen , Guo Wei , Wenyi Zhang

Intelligent reflecting surfaces (IRS) have become the subject of many current research efforts, as the ongoing wireless spectrum crunch has made the need to open higher frequency bands a priority. IRS are one of the alternatives proposed to…

信息论 · 计算机科学 2025-12-01 Alessandro Nordio , Alberto Tarable , Francisco J. Escribano

Intelligent reflecting surfaces (IRS) have been proposed in millimeter wave (mmWave) and terahertz (THz) systems to achieve both coverage and capacity enhancement, where the design of hybrid precoders, combiners, and the IRS typically…

信息论 · 计算机科学 2023-05-31 Shuntian Zheng , Sheng Wu , Chunxiao Jiang , Wei Zhang , Xiaojun Jing

Intelligent reflecting surface (IRS) is a promising technology for achieving high spectrum efficiency in future wireless networks by leveraging massive low-cost reflecting elements with each reflecting the incident signal with a proper…

信息论 · 计算机科学 2018-10-29 Qingqing Wu , Rui Zhang

Intelligent reflecting surface (IRS) has emerged as a revolutionizing solution to enhance wireless communications by intelligently changing the propagation environment. Prior studies on IRS are based on an ideal reflection model with a…

信号处理 · 电气工程与系统科学 2020-06-03 Wenhao Cai , Hongyu Li , Ming Li , Qian Liu

Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces (IRSs), or large intelligent surfaces (LISs), have received significant attention for their potential to enhance the capacity and coverage of wireless…

信号处理 · 电气工程与系统科学 2021-05-05 Yuanwei Liu , Xiao Liu , Xidong Mu , Tianwei Hou , Jiaqi Xu , Marco Di Renzo , Naofal Al-Dhahir

In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable wireless environment for physical layer security. By adjusting the reflecting coefficients, the IRS can change the attenuation and scattering of…

信号处理 · 电气工程与系统科学 2019-06-21 Jie Chen , Ying-Chang Liang , Yiyang Pei , Huayan Guo

Intelligent reflecting surface (IRS) is deemed as a promising and revolutionizing technology for future wireless communication systems owing to its capability to intelligently change the propagation environment and introduce a new dimension…

信号处理 · 电气工程与系统科学 2021-01-06 Wenhao Cai , Rang Liu , Yang Liu , Ming Li , Qian Liu

Intelligent reflection surface (IRS) is emerging as a promising technique for future wireless communications. Considering its excellent capability in customizing the channel conditions via energy-focusing and energy-nulling, it is an ideal…

信息论 · 计算机科学 2021-08-31 Shihao Yan , Xiaobo Zhou , Derrick Wing Kwan Ng , Jinhong Yuan , Naofal Al-Dhahir

An intelligent reflecting surface (IRS) is an array of discrete elements with configurable scattering properties. It has the capability to beamform arriving radio waves to an intended receiver, making it an attractive candidate technology…

信息论 · 计算机科学 2022-03-08 Ioannis Chatzigeorgiou

Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer. However, relatively little…

信号处理 · 电气工程与系统科学 2023-12-27 Wei Wang , Peizheng Li , Angela Doufexi , Mark A Beach

We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission. We compare the performance of Deep Reinforcement Learning (DRL) and conventional optimization methods in finding…

机器学习 · 计算机科学 2021-07-27 Amal Feriani , Amine Mezghani , Ekram Hossain