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相关论文: Wideband Coverage Enhancement for IRS-Aided Wirele…

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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) 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

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

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

Intelligent reflecting surface (IRS), composed of a large number of hardware-efficient passive elements, is deemed as a potential technique for future wireless communications since it can adaptively enhance the propagation environment. In…

信号处理 · 电气工程与系统科学 2021-01-27 Wanning Yang , Hongyu Li , Ming Li , Yang Liu , Qian Liu

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

Intelligent reflecting surface (IRS) has emerged as a revolutionizing solution to enhance wireless communications by intelligently changing the propagation environment. Prior studies on IRS are based on an ideal reflection model with a…

信号处理 · 电气工程与系统科学 2020-06-03 Wenhao Cai , Hongyu Li , Ming Li , Qian Liu

In the intelligent reflecting surface (IRS)-enhanced wireless communication system, channel state information (CSI) is of paramount importance for achieving the passive beamforming gain of IRS, which, however, is a practically challenging…

信息论 · 计算机科学 2020-01-30 Beixiong Zheng , Rui Zhang

Intelligent reflecting surface (IRS) is a promising new technology for achieving spectrum and energy efficient wireless communication systems in the future. By adaptively varying the incident signals' phases/amplitudes and thereby…

信号处理 · 电气工程与系统科学 2019-08-22 Yifei Yang , Shuowen Zhang , Rui Zhang

Intelligent reflecting surface (IRS) is envisioned as a revolutionary technology for future wireless communication systems since it can intelligently change radio environment and integrate it into wireless communication optimization.…

信号处理 · 电气工程与系统科学 2021-01-05 Hongyu Li , Wenhao Cai , Yang Liu , Ming Li , Qian Liu , Qingqing Wu

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

Intelligent reflecting surface (IRS) is a promising new technology for achieving both spectrum and energy efficient wireless communication systems in the future. However, existing works on IRS mainly consider frequency-flat channels and…

信息论 · 计算机科学 2019-11-25 Yifei Yang , Beixiong Zheng , Shuowen Zhang , Rui Zhang

Intelligent reflecting surface (IRS) is considered as an enabling technology for future wireless communication systems since it can intelligently change the wireless environment to improve the communication performance. In this paper, an…

信号处理 · 电气工程与系统科学 2019-09-26 Hongyu Li , Rang Liu , Ming Li , Qian Liu

In this letter, we study efficient channel estimation for an intelligent reflecting surface (IRS)-assisted orthogonal frequency division multiplexing (OFDM) system to achieve minimum training time. First, a fast channel estimation scheme…

信息论 · 计算机科学 2020-08-12 Beixiong Zheng , Changsheng You , Rui Zhang

An intelligent reflecting surface (IRS) can greatly improve the channel quality over a frequency-flat channel, if it is configured to reflect the incident signal as a beam towards the receiver. However, the fundamental limitations of the…

信息论 · 计算机科学 2021-09-16 Emil Björnson

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

Intelligent reflecting surface (IRS) is an emerging technique to enhance the wireless communication spectral efficiency with low hardware and energy cost. In this letter, we consider the integration of IRS to an orthogonal frequency…

信息论 · 计算机科学 2019-12-04 Yifei Yang , Shuowen Zhang , Rui Zhang

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

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

Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz and the millimeter wave (mmWave) bands. Existing approaches to leverage the benefits of IRS involve the…

信息论 · 计算机科学 2023-07-03 L. Yashvanth , Chandra R. Murthy
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