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Intelligent reflecting surface (IRS) is a promising technology for beyond 5th Generation of the wireless communications. In fully passive IRS-assisted systems, channel estimation is challenging and should be carried out only at the base…

This work focuses on wideband intelligent reflecting surface (IRS)-aided multiuser MIMO systems. One of the major challenges of this scenario is the joint design of the frequency-dependent base station (BS) precoder and user filters, and…

Most works in IRS-assisted systems have ignored the impact of the inevitable residual hardware impairments (HWIs) at both the transceiver hardware and the IRS while any relevant works have addressed only simple scenarios, e.g., with…

Compared to traditional intelligent reflecting surfaces(IRS), aerial IRS (AIRS) has unique advantages, such as more flexible deployment and wider service coverage. However, modeling AIRS in the channel presents new challenges due to their…

信息论 · 计算机科学 2023-09-06 Shaoyi Liu , Nan Ma , Yaning Chen , Ke Peng , Dongsheng Xue

As a revolutionary paradigm for intelligently controlling wireless channels, intelligent reflecting surface (IRS) has emerged as a promising technology for future sixth-generation (6G) wireless communications. While IRS-aided communication…

信号处理 · 电气工程与系统科学 2025-04-23 Shengsheng Zhang , Taotao Ji , Meng Hua , Yongming Huang , Luxi Yang

Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and extended coverage. This chapter investigates the…

信号处理 · 电气工程与系统科学 2026-02-24 Yashuai Cao , Hetong Wang , Tiejun Lv , Wei Ni

In this paper, we investigate the design of robust and secure transmission in intelligent reflecting surface (IRS) aided wireless communication systems. In particular, a multi-antenna access point (AP) communicates with a single-antenna…

信号处理 · 电气工程与系统科学 2020-12-04 Sheng Hong , Cunhua Pan , Hong Ren , Kezhi Wang , Kok Keong Chai , Arumugam Nallanathan

Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves…

信号处理 · 电气工程与系统科学 2021-06-10 Tao Jiang , Hei Victor Cheng , Wei Yu

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

In this paper, we investigate a self-sensing intelligent reflecting surface (IRS) aided millimeter wave (mmWave) integrated sensing and communication (ISAC) system. Unlike the conventional purely passive IRS, the self-sensing IRS can…

信号处理 · 电气工程与系统科学 2023-11-15 Zijian Chen , Ming-Min Zhao , Min Li , Fan Xu , Qingqing Wu , Min-Jian Zhao

In cell-free multiple input multiple output (MIMO) networks, multiple base stations (BSs) collaborate to achieve high spectral efficiency. Nevertheless, high penetration loss due to large blockages in harsh propagation environments is often…

信息论 · 计算机科学 2023-03-16 Chen Chen , Sai Xu , Jiliang Zhang , Jie Zhang

In this paper, we investigate a cascaded channel estimation method for a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system aided by a reconfigurable intelligent surface (RIS) with the BS equipped with…

信息论 · 计算机科学 2024-01-17 Ruizhe Wang , Hong Ren , Cunhua Pan , Shi Jin , Petar Popovski , Jiangzhou Wang

Reconfigurable Intelligent Surface (RIS) is considered as an energy-efficient solution for future wireless communication networks due to its fast and low-cost configuration. In this letter, we consider the estimation of cascaded channels in…

信号处理 · 电气工程与系统科学 2022-10-25 Mengbing Liu , Xin Li , Boyu Ning , Chongwen Huang , Sumei Sun , Chau Yuen

Reconfigurable intelligent surface is a potential technology component of future wireless networks due to its capability of shaping the wireless environment. The promising MIMO systems in terms of extended coverage and enhanced capacity…

This paper studies the feasibility of deploying intelligent reflecting surfaces (IRSs) in massive MIMO (multiple-input multiple-output) systems to improve the performance of users in the service dead zone. To reduce the channel training…

信息论 · 计算机科学 2022-01-13 Zhaorui Wang , Liang Liu , Shuowen Zhang , Shuguang Cui

Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating a controllable propagation environment. In this paper, we propose to invoke an IRS at the cell boundary of multiple cells to…

信号处理 · 电气工程与系统科学 2020-04-27 Cunhua Pan , Hong Ren , Kezhi Wang , Wei Xu , Maged Elkashlan , Arumugam Nallanathan , Lajos Hanzo

Intelligent reflecting surface (IRS) is a promising solution to enhance the wireless communication capacity both cost-effectively and energy-efficiently, by properly altering the signal propagation via tuning a large number of passive…

信息论 · 计算机科学 2019-10-04 Shuowen Zhang , Rui Zhang

Future wireless networks are expected to provide high spectral efficiency, low hardware cost, and scalable connectivity. An appealing option to meet these requirements is the intelligent reflective surface (IRS), which guarantees a smart…

网络与互联网体系结构 · 计算机科学 2022-10-07 Yunli Li , Young Jin Chun

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output communication system with multiple antennas at both the base station (BS) and the user. We plan to maximize the achievable rate…

信息论 · 计算机科学 2024-05-28 Yaqiong Zhao , Jindan Xu , Wei Xu , Kezhi Wang , Xinquan Ye , Chau Yuen , Xiaohu You

Reconfigurable Intelligent Surface (RIS) technology has emerged as a key enabler for future wireless communications. However, its potential is constrained by the difficulty of acquiring accurate user-to-RIS channel state information (CSI),…

信号处理 · 电气工程与系统科学 2026-04-20 Md. Shahriar Sadid , Ali A. Nasir , Saad Al-Ahmadi , Samir Al-Ghadhban