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相关论文: Intelligent Reflecting Surface Assisted MISO Downl…

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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

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…

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…

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

This work studies the net sum-rate performance of a distributed reconfigurable intelligent surfaces (RISs)-assisted multi-user multiple-input-single-output (MISO) downlink communication system under imperfect instantaneous-channel state…

信号处理 · 电气工程与系统科学 2023-08-10 Bayan Al-Nahhas , Qurrat-UI-Ain Nadeem , Aryan Kaushik , Anas Chaaban

This paper investigates the reconfigurable reflecting surface (RIS)-aided multiple-input-single-output (MISO) systems with imperfect channel state information (CSI), where RIS-related channels are modeled by Rician fading. Considering the…

信息论 · 计算机科学 2021-07-13 Kangda Zhi , Cunhua Pan , Hong Ren , Kezhi Wang , Maged Elkashlan

We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission. We compare the performance of Deep Reinforcement Learning (DRL) and conventional optimization methods in finding…

机器学习 · 计算机科学 2021-07-27 Amal Feriani , Amine Mezghani , Ekram Hossain

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

Intelligent reflecting surface (IRS) has emerged as a promising paradigm to improve the capacity and reliability of a wireless communication system by smartly reconfiguring the wireless propagation environment. To achieve the promising…

信号处理 · 电气工程与系统科学 2021-01-12 Yi Wei , Ming-Min Zhao , Min-Jian Zhao , Yunlong Cai

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

信息论 · 计算机科学 2020-06-25 Zhaorui Wang , Liang Liu , Shuguang Cui

This work studies the net sum-rate performance of a distributed reconfigurable intelligent surfaces (RISs)-assisted multi-user multiple-input-single-output (MISO) downlink communication system under imperfect instantaneous-channel state…

信息论 · 计算机科学 2023-07-04 Bayan Al-Nahhas , Qurrat-Ul-Ain Nadeem , Anas Chaaban

The intelligent reflecting surface (IRS) is a planar array with massive reconfigurable passive elements, which can align the reflecting signals at the receivers via controlling the phase shifts at each element independently. Since IRS can…

信号处理 · 电气工程与系统科学 2020-10-22 Silei Wang , Qiang Li , Sissi Xiaoxiao Wu , Jingran Lin

In this paper, we consider a multi-user multiple-input multiple-output (MIMO) system aided by multiple intelligent reflecting surfaces (IRSs) that are deployed to increase the coverage and, possibly, the rank of the channel. We propose an…

信息论 · 计算机科学 2020-12-22 Andrea Abrardo , Davide Dardari , Marco Di Renzo

In this paper, the minimum mean square error (MMSE) channel estimation for intelligent reflecting surface (IRS) assisted wireless communication systems is investigated. In the considered setting, each row vector of the equivalent channel…

信息论 · 计算机科学 2021-04-06 Mangqing Guo , M. Cenk Gursoy

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

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

In this paper, we consider an intelligent reflecting surface (IRS)-aided single-user system where an IRS with discrete phase shifts is deployed to assist the uplink communication. A practical transmission protocol is proposed to execute…

信息论 · 计算机科学 2019-12-24 Changsheng You , Beixiong Zheng , Rui Zhang

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

Intelligent reflecting surface (IRS) is an emerging technology for future wireless communications including 5G and especially 6G. It consists of a large 2D array of (semi-)passive scattering elements that control the electromagnetic…

信号处理 · 电气工程与系统科学 2021-04-21 Gilderlan T. de Araújo , André L. F. de Almeida , Rémy Boyer

Intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter wave (mmWave) wireless communication, due to their ability to create favorable line-of-sight (LoS) propagation environments. In this paper, we…

信息论 · 计算机科学 2020-05-12 Tian Lin , Xianghao Yu , Yu Zhu , Robert Schober
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