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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

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 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 paper, we study an IRS-assisted coverage enhancement problem for a given region, aiming to optimize the passive reflection of the IRS for improving the average communication performance in the region by accounting for both…

信息论 · 计算机科学 2024-11-06 He Sun , Lipeng Zhu , Weidong Mei , Rui Zhang

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

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

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) 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 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

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

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

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts. To realize the…

信号处理 · 电气工程与系统科学 2021-06-08 Siqi Ma , Wenqian Shen , Jianping An , Lajos Hanzo

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

Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive…

信息论 · 计算机科学 2022-02-02 Beixiong Zheng , Changsheng You , Weidong Mei , Rui Zhang

The passive and frequency-flat reflection of IRS, as well as the high-dimensional IRS-reflected channels, have posed significant challenges for efficient IRS channel estimation, especially in wideband communication systems with significant…

信息论 · 计算机科学 2024-11-15 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

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

The concept of reconfiguring wireless propagation environments using intelligent reflecting surfaces (IRS)s has recently emerged, where an IRS comprises of a large number of passive reflecting elements that can smartly reflect the impinging…

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks. By smartly tuning the signal reflection via a large number of low-cost passive reflecting elements, IRS is capable…

信息论 · 计算机科学 2020-07-08 Qingqing Wu , Shuowen Zhang , Beixiong Zheng , Changsheng You , Rui Zhang
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