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相关论文: Physics-based Modeling of Large Intelligent Reflec…

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This paper considers machine learning for physical layer security design for communication in a challenging wireless environment. The radio environment is assumed to be programmable with the aid of a meta material-based intelligent…

信号处理 · 电气工程与系统科学 2021-02-23 Yizhuo Song , Muhammad R. A. Khandaker , Faisal Tariq , Kai-Kit Wong , Apriana Toding

Intelligent reflecting surfaces (IRSs) tune wireless environments to increase spectrum and energy efficiencies. In view of much recent attention to the IRS concept as a promising technology for 6G wireless communications, we present a…

信号处理 · 电气工程与系统科学 2019-11-05 Jun Zhao

This paper considers an angle-domain intelligent reflecting surface (IRS) system. We derive maximum likelihood (ML) estimators for the effective angles from the base station (BS) to the user and the effective angles of propagation from the…

信息论 · 计算机科学 2021-03-02 Xiaoling Hu , Caijun Zhong , Zhaoyang Zhang

The current literature on intelligent reflecting surface (IRS) focuses on optimizing the IRS phase shifts to yield coherent beamforming gains, under the assumption of perfect channel state information (CSI) of individual IRS-assisted links,…

信息论 · 计算机科学 2021-03-19 Qurrat-Ul-Ain Nadeem , Alessio Zappone , Anas Chaaban

Intelligent reflecting surface (IRS) is a new and promising paradigm to substantially improve the spectral and energy efficiency of wireless networks, by constructing favorable communication channels via tuning massive low-cost passive…

信息论 · 计算机科学 2021-05-18 Jiangbin Lyu , Rui Zhang

The intelligent reflecting surface (IRS) is emphasized as a controlled scattering cluster. To this end, scatterers and traveling paths of multipath components are classified to build a new channel model. Unlike the conventional modeling,…

信号处理 · 电气工程与系统科学 2021-11-18 Musab Alayasra , Huseyin Arslan

Intelligent Reflecting Surfaces (IRS) are anticipated to serve as a key cornerstone of future wireless networks, providing an unmatched capability to deterministically shape electromagnetic wave propagation. Despite this potential, most…

网络与互联网体系结构 · 计算机科学 2025-12-02 Fatih E. Bilgen , A. Sila Okcu , O. Tansel Baydas , Ozgur B. Akan

In this work, we study the statistically robust beamforming design for an intelligent reflecting surfaces (IRS) assisted multiple-input single-output (MISO) wireless system under imperfect channel state information (CSI), where the channel…

信息论 · 计算机科学 2020-06-15 Jiezhi Zhang , Yu Zhang , Caijun Zhong , Zhaoyang Zhang

Reconfigurable Intelligent Surfaces (RIS) or Intelligent Reflecting Surfaces (IRS) are metasurfaces that can be deployed in various places in wireless environments to make these environments controllable and reconfigurable. In this paper,…

信息论 · 计算机科学 2020-01-22 S. Mohammad Razavizadeh , Tommy Svensson

Intelligent reflecting surface (IRS), which is capable to adjust propagation conditions by controlling phase shifts of the reflected waves that impinge on the surface, has been widely analyzed for enhancing the performance of wireless…

系统与控制 · 电气工程与系统科学 2021-06-29 Shuhang Zhang , Hongliang Zhang , Boya Di , Yunhua Tan , Marco Di Renzo , Zhu Han , H. Vincent Poor , Lingyang Song

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 been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an…

信号处理 · 电气工程与系统科学 2022-04-14 Wenhao Cai , Rang Liu , Ming Li , Yang Liu , Qingqing Wu , Qian Liu

Intelligent reflecting surface (IRS) is a cost-efficient technique to improve power efficiency and spectral efficiency. However, IRS-aided multi-antenna transmission needs to jointly optimize the passive and active beamforming, imposing a…

信息论 · 计算机科学 2022-05-03 Wei Jiang , Hans Dieter Schotten

The reconfigurable intelligent surface (RIS) is one of the promising technologies contributing to the next generation smart radio environment. A novel physics-based RIS channel model is proposed. Particularly, we consider the RIS and the…

信号处理 · 电气工程与系统科学 2020-08-04 Jiaqi Xu , Yuanwei Liu

Intelligent reflecting surface (IRS) is envisioned to change the paradigm of wireless communications from "adapting to wireless channels" to "changing wireless channels". However, current IRS configuration schemes, consisting of sub-channel…

信号处理 · 电气工程与系统科学 2022-05-12 Wei Wang , Wei Zhang

Although the fifth-generation (5G) technologies will significantly improve the spectrum and energy efficiency of today's wireless communication networks, their high complexity and hardware cost as well as increasingly more energy…

信息论 · 计算机科学 2019-09-02 Qingqing Wu , Rui Zhang

Compared to traditional intelligent reflecting surfaces(IRS), aerial IRS (AIRS) has unique advantages, such as more flexible deployment and wider service coverage. However, modeling AIRS in the channel presents new challenges due to their…

信息论 · 计算机科学 2023-09-06 Shaoyi Liu , Nan Ma , Yaning Chen , Ke Peng , Dongsheng Xue

The concept of intelligent reflecting surfaces (IRSs) is considered as a promising technology for increasing the efficiency of mobile wireless networks. This is achieved by employing a vast amount of low-cost individually adjustable passive…

网络与互联网体系结构 · 计算机科学 2020-12-01 Kevin Weinberger , Alaa Alameer Ahmad , Aydin Sezgin

Intelligent reflecting surfaces (IRSs) have recently received significant attention for 6G wireless communications as they enable the control of the wireless propagation environment. The use of IRS also provides reducing the hardware…

信号处理 · 电气工程与系统科学 2025-10-06 Ahmet M. Elbir , 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