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Intelligent reflecting surface (IRS) is regarded as a revolutionary paradigm that can reconfigure the wireless propagation environment for enhancing the desired signal and/or weakening the interference, and thus improving the quality of…

信息论 · 计算机科学 2023-12-19 Xintong Chen , Jiangbin Lyu , Liqun Fu

Accurate cascaded channel state information is pivotal for extremely large-scale intelligent reflecting surfaces (XL-IRS) in next-generation wireless networks. However, the large XL-IRS aperture induces spherical wavefront propagation due…

信号处理 · 电气工程与系统科学 2026-02-17 Wenzhou Cao , Yashuai Cao , Tiejun Lv , Mugen Peng

Active reconfigurable intelligent surface (ARIS) is a newly emerging RIS technique that leverages radio frequency (RF) reflection amplifiers to empower phase-configurable reflection elements (REs) in amplifying the incident signal. Thereby,…

信号处理 · 电气工程与系统科学 2023-11-07 Hao Chen , Nanxi Li , Ruizhe Long , Ying-Chang Liang

Intelligent reflecting surface (IRS) is a promising new paradigm to achieve high spectral and energy efficiency for future wireless networks by reconfiguring the wireless signal propagation via passive reflection. To reap the potential…

信息论 · 计算机科学 2022-10-26 Ming-Min Zhao , Qingqing Wu , Min-Jian Zhao , Rui Zhang

Intelligent Reflecting Surface (IRS) has been recently proposed as a promising solution to enhance the spectral and energy efficiency of future wireless networks by tuning a massive number of low-cost passive reflecting elements and thereby…

信息论 · 计算机科学 2020-02-27 Jiangbin Lyu , Rui Zhang

Intelligent reflecting surface (IRS) has gained great attention for its ability to create favorable propagation environments. However, the power consumption of conventional IRSs cannot be ignored due to the large number of reflecting…

信号处理 · 电气工程与系统科学 2025-06-13 Weibiao Zhao , Qiucen Wu , Yuanqi Tang , Yu Zhu

In this paper, the minimum mean square error (MMSE) channel estimation for intelligent reflecting surface (IRS) assisted wireless communication systems is investigated. In the considered setting, each row vector of the equivalent channel…

信息论 · 计算机科学 2021-04-06 Mangqing Guo , M. Cenk Gursoy

In this paper, two Intelligent reflecting surfaces (double IRS) assisted single-user single input single output (SISO) communication system is considered. The cascaded channels (mobile user (MU)$\rightarrow$IRS-1$\rightarrow$base station…

信号处理 · 电气工程与系统科学 2022-08-05 Vishnu Karthikeya Gorty

This work studies the modelling and the optimization of intelligent reflecting surface (IRS) assisted multiple-input multiple-output (MIMO) systems through cascaded line-of-sight (LoS) links. In Part I of this work, we build up a new…

信息论 · 计算机科学 2022-07-12 Mingchen Zhang , Xiaojun Yuan

This work examines the performance gain achieved by deploying an intelligent reflecting surface (IRS) in covert communications. To this end, we formulate the joint design of the transmit power and the IRS reflection coefficients by taking…

信息论 · 计算机科学 2022-01-12 Xiaobo Zhou , Shihao Yan , Qingqing Wu , Feng Shu , Derrick Wing Kwan Ng

Intelligent Reflecting Surface (IRS) has been a promising solution to enhance wireless networks both spectral-efficiently and energy-efficiently. This paper considers an IRS-assisted the Internet of Things network for massive connectivity.…

信号处理 · 电气工程与系统科学 2019-11-28 Shuhao Xia , Yuanming Shi

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

The employment of intelligent reflecting surfaces (IRSs) is a potential and promising solution to increase the spectral and energy efficiency of wireless communication networks. Despite their many advantages, IRS-aided communications have…

信息论 · 计算机科学 2021-03-26 Constantinos Psomas , Ioannis Krikidis

Direction-of-Arrival (DoA) estimation assisted with an Intelligent Reflecting Surface (IRS) is crucial for various wireless applications, especially in challenging Non-Line-of-Sight (NLoS) environments. This paper presents a novel neural…

信号处理 · 电气工程与系统科学 2025-05-23 Yasin Azhdari , Mahmoud Farhang

Intelligent reflecting surface (IRS) has emerged as a promising technique to extend the wireless signal coverage of access point (AP) and improve the communication performance cost-effectively. In order to reduce the path-loss of the…

信息论 · 计算机科学 2024-01-17 Yuwei Huang , Lipeng Zhu , Rui Zhang

Intelligent reflecting surface (IRS) is envisioned to have abundant applications in future wireless networks by smartly reconfiguring the signal propagation for performance enhancement. Specifically, an IRS consists of a large number of…

信息论 · 计算机科学 2018-09-13 Qingqing Wu , Rui Zhang

Integrating wireless sensing capabilities into base stations (BSs) has become a widespread trend in the future beyond fifth-generation (B5G)/sixth-generation (6G) wireless networks. In this paper, we investigate intelligent reflecting…

新兴技术 · 计算机科学 2024-04-09 Taotao Ji , Meng Hua , Xuanhong Yan , Chunguo Li , Yongming Huang , Luxi Yang

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 surface (IRS) is an emerging technology for wireless communications, thanks to its powerful capability to engineer the radio environment. However, in practice, this benefit is attainable only when the passive IRS is…

信息论 · 计算机科学 2023-03-10 Chao Feng , Haiquan Lu , Yong Zeng , Teng Li , Shi Jin , Rui Zhang

In this paper, the problem of training signal design for intelligent reflecting surface (IRS)-assisted millimeter-wave (mmWave) communication under a sparse channel model is considered. The problem is approached based on the…

信息论 · 计算机科学 2020-12-29 Song Noh , Heejung Yu , Youngchul Sung