Artificial Rich Scattering-Assisted MIMO Systems Using Passive Backscatter Devices

A. Al-nahari, R. Jäntti, Muhammad Usman Sheikh
{"title":"Artificial Rich Scattering-Assisted MIMO Systems Using Passive Backscatter Devices","authors":"A. Al-nahari, R. Jäntti, Muhammad Usman Sheikh","doi":"10.1109/ictc55111.2022.9778563","DOIUrl":null,"url":null,"abstract":"Reconfigurable intelligent surfaces (RIS) are emerging as a promising technology for the future 6G networks. One of the challenges of IRS systems is that they require feedback control which in turn means that they have to have receiver and microcontroller that consume power. In this paper, we propose to use passive chipless backscatter devices to shape the channel between the transmitter and the receiver. We propose a novel artificial rich scattering (ARS)-assisted MIMO system, that uses passive chipless backscatter devices to shape the channel covariance matrix by increasing its rank even if the direct transmission channel has strong line-of-sight (LoS) component. In particular, we conduct a large system analysis and show that the achievable rate is independent of the phase shift matrix at the backscattering nodes. Moreover, by introducing large number of passive scattering elements in the system, we can improve the system capacity even with the presence of strong LoS component in MIMO channel. We also consider the case of ARS-assisted MISO case when the channel state information (CSI) is available at the transmitter side and derive tight lower bound on the ergodic rate.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd Information Communication Technologies Conference (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ictc55111.2022.9778563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Reconfigurable intelligent surfaces (RIS) are emerging as a promising technology for the future 6G networks. One of the challenges of IRS systems is that they require feedback control which in turn means that they have to have receiver and microcontroller that consume power. In this paper, we propose to use passive chipless backscatter devices to shape the channel between the transmitter and the receiver. We propose a novel artificial rich scattering (ARS)-assisted MIMO system, that uses passive chipless backscatter devices to shape the channel covariance matrix by increasing its rank even if the direct transmission channel has strong line-of-sight (LoS) component. In particular, we conduct a large system analysis and show that the achievable rate is independent of the phase shift matrix at the backscattering nodes. Moreover, by introducing large number of passive scattering elements in the system, we can improve the system capacity even with the presence of strong LoS component in MIMO channel. We also consider the case of ARS-assisted MISO case when the channel state information (CSI) is available at the transmitter side and derive tight lower bound on the ergodic rate.
利用无源后向散射装置的人工丰富散射辅助MIMO系统
可重构智能表面(RIS)正在成为未来6G网络的一项有前途的技术。IRS系统的挑战之一是它们需要反馈控制,这反过来意味着它们必须具有消耗功率的接收器和微控制器。在本文中,我们建议使用无源无芯片的反向散射器件来塑造发射器和接收器之间的信道。本文提出了一种新的人工富散射(ARS)辅助MIMO系统,该系统使用无源无芯片后向散射器件,即使直接传输信道具有强视距(LoS)分量,也可以通过增加信道协方差矩阵的秩来形成信道协方差矩阵。特别是,我们进行了大规模的系统分析,并表明可实现的速率与后向散射节点的相移矩阵无关。此外,通过在系统中引入大量的被动散射元件,可以在MIMO信道中存在强LoS分量的情况下提高系统容量。我们还考虑了当信道状态信息(CSI)在发送端可用时的ars辅助MISO情况,并推导了遍历速率的紧下界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信