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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

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 envisioned to be a technical enabler for the sixth-generation (6G) wireless system. Its potential lies in delivering high performance while maintaining both power efficiency and cost-effectiveness.…

信息论 · 计算机科学 2024-05-17 Wei Jiang , Hans Schotten

This paper studies the feasibility of deploying intelligent reflecting surfaces (IRSs) in massive MIMO (multiple-input multiple-output) systems to improve the performance of users in the service dead zone. To reduce the channel training…

信息论 · 计算机科学 2022-01-13 Zhaorui Wang , Liang Liu , Shuowen Zhang , Shuguang Cui

In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiuser communication system, where an IRS is deployed to provide virtual line-of-sight (LoS) links between an access point (AP) and multiple users. We consider…

信息论 · 计算机科学 2020-06-30 Changsheng You , Beixiong Zheng , Rui Zhang

Intelligent reflecting surface (IRS) has emerged as a promising technique to enhance wireless communication performance cost effectively. The existing literature has mainly considered IRS being deployed near user terminals to improve their…

信息论 · 计算机科学 2022-05-27 Yuwei Huang , Weidong Mei , Rui Zhang

This paper presents an overview on intelligent reflecting surface (IRS)-enabled sensing and communication for the forthcoming sixth-generation (6G) wireless networks, in which IRSs are strategically deployed to proactively reconfigure…

信号处理 · 电气工程与系统科学 2024-11-12 Xianxin Song , Yuan Fang , Feng Wang , Zixiang Ren , Xianghao Yu , Ye Zhang , Fan Liu , Jie Xu , Derrick Wing Kwan Ng , Rui Zhang , Shuguang Cui

Intelligent reflecting surface (IRS) has been deemed as a transformative technology to achieve smart and reconfigurable environment for wireless communication. This letter studies a new IRS-aided communication system, where multiple IRSs…

信息论 · 计算机科学 2020-10-27 Weidong Mei , Rui Zhang

Intelligent reflecting surface (IRS) offers a cost effective solution to link blockage problem in mmWave communications, and the prerequisite of which is the accurate estimation of (1) the optimal beams for base station/access point (BS/AP)…

信息论 · 计算机科学 2021-01-13 Wei Wang , Wei Zhang

This paper investigates the capabilities and effectiveness of backward sensing centered on reconfigurable intelligent surfaces (RISs). We demonstrate that the direction of arrival (DoA) estimation of incident waves in the far-field regime…

信号处理 · 电气工程与系统科学 2024-07-31 Fuhai Wang , Tiebin Mi , Chun Wang , Rujing Xiong , Zhengyu Wang , Robert Caiming Qiu

Intelligent reflecting surface (IRS) is expected to play a pivotal role in future wireless sensing networks owing to its potential for high-resolution and high-accuracy sensing. In this work, we investigate a multi-target…

信息论 · 计算机科学 2024-09-17 Renwang Li , Shu Sun , Meixia Tao

Intelligent reflecting surface (IRS) is a new and revolutionary technology capable of reconfiguring the wireless propagation environment by controlling its massive low-cost passive reflecting elements. Different from prior works that focus…

信息论 · 计算机科学 2021-11-05 Bifeng Ling , Jiangbin Lyu , Liqun Fu

Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and extended coverage. This chapter investigates the…

信号处理 · 电气工程与系统科学 2026-02-24 Yashuai Cao , Hetong Wang , Tiejun Lv , Wei Ni

Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves…

信号处理 · 电气工程与系统科学 2021-06-10 Tao Jiang , Hei Victor Cheng , Wei Yu

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

Reconfigurable Intelligent Surfaces (RISs) are envisioned to be employed in next generation wireless networks to enhance the communication and radio localization services. In this paper, we propose novel localization and tracking algorithms…

In this paper, we consider an intelligent reflecting surface (IRS)-aided single-user system where an IRS with discrete phase shifts is deployed to assist the uplink communication. A practical transmission protocol is proposed to execute…

信息论 · 计算机科学 2019-12-24 Changsheng You , Beixiong Zheng , Rui Zhang

Secure communications are of paramount importance in spectrum sharing networks due to the allocation and sharing characteristics of spectrum resources. To further explore the potential of intelligent reflective surfaces (IRSs) in enhancing…

信息论 · 计算机科学 2023-12-05 Lingyi Wang , Wei Wu , Fuhui Zhou , Qihui Wu , Octavia A. Dobre , Tony Q. S. Quek

This paper proposes a new three-dimensional (3D) wireless passive relaying system enabled by aerial IRS (AIRS). Compared to the conventional terrestrial IRS, AIRS enjoys more deployment flexibility as well as wider-range signal reflection,…

信号处理 · 电气工程与系统科学 2020-11-30 Haiquan Lu , Yong Zeng , Shi Jin , Rui Zhang

With the increasing demand for internet of things (IoT) applications, especially for location-based services, how to locate passive mobile targets (MTs) with minimal beam control has become a challenge. Resonant beam systems are considered…

信号处理 · 电气工程与系统科学 2025-02-14 Yixuan Guo , Qingwei Jiang , Mingliang Xiong , Wen Fang , Mingqing Liu , Qingqing Zhang , Qingwen Liu , Gang Yan