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Future wireless communication networks are expected to be smarter and more aware of their surroundings, enabling a wide range of context-aware applications. Reconfigurable intelligent surfaces (RISs) are set to play a critical role in…

信息论 · 计算机科学 2025-03-13 Yixuan Huang , Jie Yang , Chao-Kai Wen , Shi Jin

The accurate estimation of Channel State Information (CSI) is of crucial importance for the successful operation of Multiple-Input Multiple-Output (MIMO) communication systems, especially in a Multi-User (MU) time-varying environment and…

A reconfigurable intelligent surface (RIS) is a holographic MIMO surface composed of a large number of passive elements that can induce adjustable phase shifts to the impinging waves. By creating virtual line-of-sight (LOS) paths between…

信号处理 · 电气工程与系统科学 2023-04-06 Mehdi Haghshenas , Parisa Ramezani , Maurizio Magarini , Emil Björnson

Reconfigurable intelligent surface (RIS) technique stands as a promising signal enhancement or signal cancellation technique for next generation networks. We design a novel passive beamforming weight at RISs in a multiple-input…

信息论 · 计算机科学 2020-03-05 Tianwei Hou , Yuanwei Liu , Zhengyu Song , Xin Sun , Yue Chen

Cell-free massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surfaces (RISs) are two potential sixth-generation (6G) technologies. However, channel aging due to user mobility and electromagnetic interference (EMI)…

信息论 · 计算机科学 2025-02-27 Jun Qian , Chi Zhang , Ross Murch , Khaled B. Letaief

As an emerging communication auxiliary technology, reconfigurable intelligent surface (RIS) is expected to play a significant role in the upcoming 6G networks. Due to its total reflection characteristics, it is challenging to implement…

信号处理 · 电气工程与系统科学 2023-08-04 W. Li , Z. Lin , Q. Guo , B. Vucetic

Intelligent reflective surface (IRS) is an emergent technology for future wireless communications. It consists of a large 2D array of passive scattering elements that control the electromagnetic properties of radio-frequency waves so that…

信号处理 · 电气工程与系统科学 2020-01-22 Gilderlan T. de Araújo , André L. F. de Almeida

We consider the problem of channel estimation in a multiple-input-multiple-output (MIMO) full-duplex (FD) wireless communication system assisted by a reconfigurable intelligent surface (RIS) with hardware impairments (HI) occurring at the…

信号处理 · 电气工程与系统科学 2023-07-25 Alexander James Fernandes , Ioannis Psaromiligkos

Active reconfigurable intelligent surface (ARIS) is a newly emerging RIS technique that leverages radio frequency (RF) reflection amplifiers to empower phase-configurable reflection elements (REs) in amplifying the incident signal. Thereby,…

信号处理 · 电气工程与系统科学 2023-11-07 Hao Chen , Nanxi Li , Ruizhe Long , Ying-Chang Liang

Reconfigurable intelligent surface (RIS)-empowered communication, has been considered widely as one of the revolutionary technologies for next generation networks. However, due to the novel propagation characteristics of RISs, underlying…

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

Integrated sensing and communication (ISAC), assisted by reconfigurable intelligent surface (RIS) has emerged as a breakthrough technology to improve the capacity and reliability of 6G wireless network. However, a significant challenge in…

信号处理 · 电气工程与系统科学 2025-04-03 Chen Zhen , Li Jianqing , Zhang Haijun , Zhang Wei

Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems. These surfaces comprise a massive number of nearly-passive elements that interact with the incident signals,…

信息论 · 计算机科学 2019-05-01 Abdelrahman Taha , Muhammad Alrabeiah , Ahmed Alkhateeb

The channel estimation problem has been widely discussed in traditional reconfigurable intelligent surface assisted multiple-input multiple-output. However, solutions for channel estimation adapted to beyond diagonal RIS need further study,…

信号处理 · 电气工程与系统科学 2024-12-05 Gilderlan T de Araujo , Andre L. F. de Almeida

Semantic communication, which focuses on conveying the meaning of information rather than exact bit reconstruction, has gained considerable attention in recent years. Meanwhile, reconfigurable intelligent surface (RIS) is a promising…

信息论 · 计算机科学 2023-06-30 Jiajia Shi , Tse-Tin Chan , Haoyuan Pan , Tat-Ming Lok

Intelligent reflecting surfaces (IRSs)-assisted wireless communication promises improved system performance, while posing new challenges in channel estimation (CE) due to the passive nature of the reflecting elements. Although a few CE…

信号处理 · 电气工程与系统科学 2020-09-25 Hibatallah Alwazani , Qurrat-Ul-Ain Nadeem , Anas Chaaban

In this paper, we investigate channel estimation for a large intelligent surface (LIS) aided multiple-input multiple-output (MIMO) communication system. Due to the close proximity of communication devices and LIS terminal, the desired…

信息论 · 计算机科学 2020-06-02 Jawad Mirza , Bakhtiar Ali

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

Fluid reconfigurable intelligent surfaces (FRISs) have recently emerged as a promising paradigm for wireless communications, wherein the reflecting elements can dynamically select their effective radiating positions from a dense preset…

信号处理 · 电气工程与系统科学 2026-05-19 Amarilton L. Magalhães , André L. F. de Almeida , George C. Alexandropoulos

Accurate channel estimation is essential to achieve the performance gains promised by the use of reconfigurable intelligent surfaces (RISs) in wireless communications. In the uplink of multi-user orthogonal frequency division multiple…

信号处理 · 电气工程与系统科学 2022-01-25 Sumin Jeong , Arman Farhang , Nemanja Stefan Perović , Mark F. Flanagan