{"title":"Enhanced Smart Wireless Communication by Intelligent Reflecting Surfaces (IRSs) and Measuring the Integration of Distributed Systems","authors":"M. Al-Jasim, Mesut Cevik","doi":"10.1109/ICAIoT57170.2022.10121872","DOIUrl":null,"url":null,"abstract":"Intelligent Reflecting Surfaces (IRSs) is a structure whose electric and magnetic characteristics may be controlled to regulate the movement of electromagnetic waves. This study provides an overview of IRSs considering the increasing interest in IRS, a smart technology that uses 6G wireless communications. Most computer networks and distributed systems where cloud storage is stored have difficulty storing text files, audio files, video files, and other sorts of data. They also cannot transmit and receive such data or access it from various places. An extensive collection of scattering devices may be individually set in the IRS to cause additional phase shifts in the reflected signals. In this paper, MATLAB software was used to build a virtual network with a group of IRSs to improve the performance of cloud and distributed computing. This was done by making it faster for data to move between the sender and the receiver and by making it possible to store more data. IRSs were used once with supporting network hardware and once without supporting network hardware. Because the existence of hardware devices may create a flaw in the data transmission process owing to the challenges that these devices confront in their functioning, the suggested system was implemented with excellent results while employing IRSs without supporting hardware devices.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIoT57170.2022.10121872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent Reflecting Surfaces (IRSs) is a structure whose electric and magnetic characteristics may be controlled to regulate the movement of electromagnetic waves. This study provides an overview of IRSs considering the increasing interest in IRS, a smart technology that uses 6G wireless communications. Most computer networks and distributed systems where cloud storage is stored have difficulty storing text files, audio files, video files, and other sorts of data. They also cannot transmit and receive such data or access it from various places. An extensive collection of scattering devices may be individually set in the IRS to cause additional phase shifts in the reflected signals. In this paper, MATLAB software was used to build a virtual network with a group of IRSs to improve the performance of cloud and distributed computing. This was done by making it faster for data to move between the sender and the receiver and by making it possible to store more data. IRSs were used once with supporting network hardware and once without supporting network hardware. Because the existence of hardware devices may create a flaw in the data transmission process owing to the challenges that these devices confront in their functioning, the suggested system was implemented with excellent results while employing IRSs without supporting hardware devices.