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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 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

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

Cell-free system where a group of base stations (BSs) cooperatively serves users has received much attention as a promising technology for the future wireless systems. In order to maximize the cooperation gain in the cell-free systems,…

信息论 · 计算机科学 2019-09-17 Seungnyun Kim , Jun Won Choi , Byonghyo Shim

In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an uplink-aided downlink channel acquisition framework using…

信息论 · 计算机科学 2024-10-28 Jiajia Guo , Chao-Kai Wen , Shi Jin

In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential for maximizing spatial resource utilization and improving…

信号处理 · 电气工程与系统科学 2025-04-16 Yiran Guo , Wei Chen , Bo Ai

To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging…

信息论 · 计算机科学 2020-10-14 Beixiong Zheng , Changsheng You , Rui Zhang

Channel state information (CSI) acquisition is a significant bottleneck in the design of Massive MIMO wireless systems, due to the length of the training sequences required to distinguish the antennas (in the downlink) and the users (for…

信息论 · 计算机科学 2016-09-12 Beatrice Tomasi , Alexis Decurninge , Maxime Guillaud

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

In the intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information (CSI) is a crucial impediment for achieving the passive beamforming gain of IRS because of the considerable overhead…

信息论 · 计算机科学 2020-01-20 Zhaorui Wang , Liang Liu , Shuguang Cui

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

Reconfigurable intelligent surface (RIS) has received widespread attention owing to the superiority of changing the wireless propagation environment intelligently. Channel feedback is essential in frequency division duplex (FDD)…

信息论 · 计算机科学 2020-12-08 Decai Shen , Linglong Dai

Beyond diagonal reconfigurable intelligent surface (BD-RIS) refers to a family of RIS architectures characterized by scattering matrices not limited to being diagonal and enables higher wave manipulation flexibility and large performance…

信号处理 · 电气工程与系统科学 2025-04-16 Rui Wang , Shuowen Zhang , Bruno Clerckx , Liang Liu

We propose a channel estimation protocol to determine the uplink channel state information (CSI) at the base station for an intelligent reflecting surface (IRS) based wireless communication. More specifically, we develop a channel…

信号处理 · 电气工程与系统科学 2025-04-15 Swapnil Saha , Md. Forkan Uddin

Massive MIMO systems can achieve high spectrum and energy efficiency in downlink (DL) based on accurate estimate of channel state information (CSI). Existing works have developed learning-based DL CSI estimation that lowers uplink feedback…

信息论 · 计算机科学 2022-05-31 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding

Beyond diagonal reconfigurable intelligent surface (BD-RIS) architectures offer superior beamforming gain over conventional diagonal RISs. However, the channel estimation overhead is the main hurdle for reaping the above gain in practice.…

信号处理 · 电气工程与系统科学 2026-02-25 Rui Wang , Junyuan Gao , Shuowen Zhang , Bruno Clerckx , Liang Liu

In this paper, we propose a novel two-stage based uplink channel estimation strategy with reduced pilot overhead and error propagation for a reconfigurable intelligent surface (RIS)-aided multi-user (MU) millimeter wave (mmWave) system.…

信号处理 · 电气工程与系统科学 2022-08-24 Zhendong Peng , Cunhua Pan , Gui Zhou , Hong Ren

An essential step for achieving multiplexing gain in MIMO downlink systems is to collect accurate channel state information (CSI) from the users. Traditionally, CSIs have to be collected before any data can be transmitted. Such a sequential…

网络与互联网体系结构 · 计算机科学 2017-06-01 Zhenzhi Qian , Fei Wu , Zizhan Zheng , Kannan Srinivasan , Ness B. Shroff

Intelligent reflecting surface (IRS) has emerged as a promising technique to control wireless propagation environment for enhancing the communication performance cost-effectively. However, the rapidly time-varying channel in high-mobility…

信息论 · 计算机科学 2023-02-16 Zixuan Huang , Beixiong Zheng , Rui Zhang

Channel estimation in the RIS-aided massive multiuser multiple-input single-output (MU-MISO) wireless communication systems is challenging due to the passive feature of RIS and the large number of reflecting elements that incur high channel…

信号处理 · 电气工程与系统科学 2022-04-13 Gui Zhou , Cunhua Pan , Hong Ren , Petar Popovski , A. Lee Swindlehurst
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