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Intelligent reflecting surface (IRS) can bring significant performance enhancement for wireless communication systems by reconfiguring wireless channels via passive signal reflection. However, such performance improvement generally relies…

信号处理 · 电气工程与系统科学 2023-10-18 Ge Yan , Lipeng Zhu , Rui Zhang

One main challenge for implementing intelligent reflecting surface (IRS) aided communications lies in the difficulty to obtain the channel knowledge for the base station (BS)-IRS-user cascaded links, which is needed to design…

信息论 · 计算机科学 2023-09-18 He Sun , Weidong Mei , Lipeng Zhu , Rui Zhang

By reconfiguring wireless channels via passive signal reflection, intelligent reflecting surface (IRS) can bring significant performance enhancement for wireless communication systems. However, such performance improvement generally relies…

信号处理 · 电气工程与系统科学 2024-07-31 Ge Yan , Lipeng Zhu , Rui Zhang

By applying tunable phase shifts to incident waves via passive signal reflection, intelligent reflecting surface (IRS) can offer significant performance improvement for wireless communication systems. To reap such performance gain, channel…

信号处理 · 电气工程与系统科学 2025-07-01 Ge Yan , Lipeng Zhu , He Sun , Rui Zhang

In this letter, we study efficient channel estimation and passive beamforming designs for a double-intelligent reflecting surface (IRS) aided single-user communication system, where a user communicates with an access point (AP) via the…

信息论 · 计算机科学 2020-08-27 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

Channel estimation is the main hurdle to reaping the benefits promised by the intelligent reflecting surface (IRS), due to its absence of ability to transmit/receive pilot signals as well as the huge number of channel coefficients…

信号处理 · 电气工程与系统科学 2021-06-23 Rui Wang , Liang Liu , Shuowen Zhang , Changyuan Yu

Channel state information (CSI) is essential to the performance optimization of intelligent reflecting surface (IRS)-aided wireless communication systems. However, the passive and frequency-flat reflection of IRS, as well as the…

信息论 · 计算机科学 2025-02-18 He Sun , Lipeng Zhu , Weidong Mei , Rui Zhang

Active intelligent reflecting surface (IRS) enables flexible signal reflection control with \emph{power amplification}, thus effectively compensating the product-distance path-loss in conventional passive-IRS aided systems. In this letter,…

信息论 · 计算机科学 2022-11-09 Yunli Li , Changsheng You , Young Jin Chun

To achieve the more significant passive beamforming gain in the double-intelligent reflecting surface (IRS) aided system over the conventional single-IRS counterpart, channel state information (CSI) is indispensable in practice but also…

信息论 · 计算机科学 2021-03-12 Beixiong Zheng , Changsheng You , Rui Zhang

Channel estimation is a practical challenge for intelligent reflecting surface (IRS) aided wireless communication. As the number of IRS reflecting elements or IRS-aided users increases, the channel training overhead becomes excessively…

信息论 · 计算机科学 2021-08-27 Xinrong Guan , Qingqing Wu , Rui Zhang

Due to the passive nature of Intelligent Reflecting Surface (IRS), channel estimation is a fundamental challenge in IRS-aided wireless networks. Particularly, as the number of IRS reflecting elements and/or that of IRS-served users…

信息论 · 计算机科学 2020-08-04 Xinrong Guan , Qingqing Wu , Rui Zhang

In this paper, we study the intelligent reflecting surface (IRS) deployment problem where a number of IRSs are optimally placed in a target area to improve its signal coverage with the serving base station (BS). To achieve this, we assume…

信号处理 · 电气工程与系统科学 2024-10-29 Min Fu , Lipeng Zhu , Rui Zhang

Intelligent reflecting surface (IRS) is an emerging technology for future wireless communications including 5G and especially 6G. It consists of a large 2D array of (semi-)passive scattering elements that control the electromagnetic…

信号处理 · 电气工程与系统科学 2021-04-21 Gilderlan T. de Araújo , André L. F. de Almeida , Rémy Boyer

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

Intelligent reflecting surface (IRS) is a promising technology that enables the precise control of the electromagnetic environment in future wireless communication networks. To leverage the IRS effectively, the acquisition of channel state…

信息论 · 计算机科学 2021-10-25 Jiancheng An , Chao Xu , Lu Gan , Chau Yuen , Lajos Hanzo

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

Intelligent reflecting surface (IRS) is a promising technology to improve the performance of backscatter communication systems by smartly reconfiguring the multi-reflection channel. To fully exploit the passive beamforming gain of IRS in…

信息论 · 计算机科学 2021-03-17 Samith Abeywickrama , Changsheng You , Rui Zhang , Chau Yuen

Intelligent reflecting surface (IRS) has recently emerged as a promising technology for beyond fifth-generation (B5G) and 6G networks conceived from metamaterials that smartly tunes the signal reflections via a large number of low-cost…

信息论 · 计算机科学 2023-08-22 Jyotsna Rani , Deepak Mishra , Ganesh Prasad , Ashraf Hossain , Swades De , Kuntal Deka

Intelligent reflection surface (IRS) has recently been recognized as a promising technique to enhance the performance of wireless systems due to its ability of reconfiguring the signal propagation environment. However, the perfect channel…

信号处理 · 电气工程与系统科学 2021-08-10 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Arumugam Nallanathan
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