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In a practical massive MIMO (multiple-input multiple-output) system, the number of antennas at a base station (BS) is constrained by the space and cost factors, which limits the throughput gain promised by theoretical analysis. This paper…

信息论 · 计算机科学 2020-05-06 Zhaorui Wang , Liang Liu , Shuguang Cui

In this work, we study the statistically robust beamforming design for an intelligent reflecting surfaces (IRS) assisted multiple-input single-output (MISO) wireless system under imperfect channel state information (CSI), where the channel…

信息论 · 计算机科学 2020-06-15 Jiezhi Zhang , Yu Zhang , Caijun Zhong , Zhaoyang Zhang

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) has recently received significant attention in wireless networks owing to its ability to smartly control the wireless propagation through passive reflection. Although prior works have employed the IRS to…

信息论 · 计算机科学 2023-05-01 Guangji Chen , Qingqing Wu

Intelligent reflecting surface (IRS) has recently been envisioned to offer unprecedented massive multiple-input multiple-output (MIMO)-like gains by deploying large-scale and low-cost passive reflection elements. By adjusting the reflection…

信号处理 · 电气工程与系统科学 2020-07-15 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Arumugam Nallanathan

This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) system consisting of several multi-antenna base stations (BSs) each communicating with a single-antenna user, in which an…

信号处理 · 电气工程与系统科学 2020-02-10 Hailiang Xie , Jie Xu , Ya-Feng Liu

Intelligent reflecting surfaces (IRSs) have received considerable attention from the wireless communications research community recently. In particular, as low-cost passive devices, IRSs enable the control of the wireless propagation…

信息论 · 计算机科学 2019-04-30 Xianghao Yu , Dongfang Xu , Robert Schober

Intelligent reflecting surface (IRS) has recently been emerging as an enabler for smart radio environment in which passive antenna arrays can be used to actively tailor/control the radio propagation. With multiple IRSs being launched to…

信号处理 · 电气工程与系统科学 2021-12-09 Tu V. Nguyen , Diep N. Nguyen

In this paper, we investigate an intelligent reflecting surface (IRS) assisted cell-free multiple input multiple output (MIMO) communication system, where distributed multiple IRSs are dedicated deployed to assist distributed multiple base…

信息论 · 计算机科学 2021-08-18 Xie Xie , Chen He , Xiaoya Li , Kun Yang , Z. Jane Wang

This paper considers a secure multigroup multicast multiple-input single-output (MISO) communication system aided by an intelligent reflecting surface (IRS). Specifically, we aim to minimize the transmit power at the Alice via jointly…

信号处理 · 电气工程与系统科学 2020-08-18 Weiping Shi , Jiayu Li , Guiyang Xia , Yuntian Wang , Xiaobo Zhou , Yonghui Zhang , Feng Shu

Intelligent reflecting surface (IRS) has the potential to significantly enhance the network performance by reconfiguring the wireless propagation environments. It is however difficult to obtain the accurate downlink channel state…

信息论 · 计算机科学 2020-05-18 Wenzhi Fang , Min Fu , Yuanming Shi , Yong Zhou

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

This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) system with several multi-antenna base stations (BSs) each communicating with a single-antenna user, in which an IRS is…

信号处理 · 电气工程与系统科学 2020-10-26 Hailiang Xie , Jie Xu , Ya-Feng Liu

The current literature on intelligent reflecting surface (IRS) focuses on optimizing the IRS phase shifts to yield coherent beamforming gains, under the assumption of perfect channel state information (CSI) of individual IRS-assisted links,…

信息论 · 计算机科学 2021-03-19 Qurrat-Ul-Ain Nadeem , Alessio Zappone , Anas Chaaban

Intelligent reflecting surface (IRS) is a promising technology to extend the wireless signal coverage and support the high performance communication. By intelligently adjusting the reflection coefficients of a large number of passive…

信息论 · 计算机科学 2021-03-01 Yitao Han , Shuowen Zhang , Lingjie Duan , Rui Zhang

Wireless communications via intelligent reflecting surfaces (IRSs) has received considerable attention from both academia and industry. In particular, IRSs are able to create favorable wireless propagation environments with typically…

信息论 · 计算机科学 2020-01-31 Xianghao Yu , Dongfang Xu , Robert Schober

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

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

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

Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). In this paper, we study the worst-case robust beamforming design for an IRS-aided…

信号处理 · 电气工程与系统科学 2020-06-02 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Marco Di Renzo , Arumugam Nallanathan
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