Analysis of Achievable Rate for SISO, MISO and MIMO-Orthogonal Frequency-Division Multiplexed (OFDM) Systems with Reconfigurable Intelligent Surface

Sharzeel Saleem, U. Chauhan, S. Pratap Singh
{"title":"Analysis of Achievable Rate for SISO, MISO and MIMO-Orthogonal Frequency-Division Multiplexed (OFDM) Systems with Reconfigurable Intelligent Surface","authors":"Sharzeel Saleem, U. Chauhan, S. Pratap Singh","doi":"10.1109/ICDT57929.2023.10150999","DOIUrl":null,"url":null,"abstract":"The world has started using fifth generation mobile network, with over 1billion people now feeling the speed and power of 5G technology, testing and experiments for beyond 5G networks have started already. One of the most popular technical hardware that shows a potential to enhance this technology is Intelligent reflecting surfaces (IRSs). These have been in the picture for considerable amount of time, these are a low-cost passive element made up on PIN diodes. Intelligent reflecting surfaces (IRSs) also known as reconfigurable intelligent surfaces (RISs) have the capacity to direct the electromagnetic (EM) waves to a particular path. The 3D- Passive meta surface is digitally controlled and has low energy consumption and operates in full-duplex mode. The various Orthogonal Frequency-Division Multiplexed (OFDM) Systems when configured with IRS shows different trends, in the research article the behavior of Achievable rate for Single-Input Single Output (SISO), Multiple-Input Single-Output (MISO) and Multiple-Input Multiple-Output (MIMO) systems have been analyzed. The analyses have been done taking into consideration the mid-band 5G spectrum.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Disruptive Technologies (ICDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDT57929.2023.10150999","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

The world has started using fifth generation mobile network, with over 1billion people now feeling the speed and power of 5G technology, testing and experiments for beyond 5G networks have started already. One of the most popular technical hardware that shows a potential to enhance this technology is Intelligent reflecting surfaces (IRSs). These have been in the picture for considerable amount of time, these are a low-cost passive element made up on PIN diodes. Intelligent reflecting surfaces (IRSs) also known as reconfigurable intelligent surfaces (RISs) have the capacity to direct the electromagnetic (EM) waves to a particular path. The 3D- Passive meta surface is digitally controlled and has low energy consumption and operates in full-duplex mode. The various Orthogonal Frequency-Division Multiplexed (OFDM) Systems when configured with IRS shows different trends, in the research article the behavior of Achievable rate for Single-Input Single Output (SISO), Multiple-Input Single-Output (MISO) and Multiple-Input Multiple-Output (MIMO) systems have been analyzed. The analyses have been done taking into consideration the mid-band 5G spectrum.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有可重构智能表面的SISO、MISO和mimo正交频分复用(OFDM)系统的可达速率分析
全球已经开始使用第五代移动网络,超过10亿人现在感受到了5G技术的速度和力量,超越5G网络的测试和实验已经开始。智能反射面(IRSs)是显示增强该技术潜力的最流行的技术硬件之一。这些已经在图片中出现了相当长的时间,这些是由PIN二极管组成的低成本无源元件。智能反射表面(IRSs)也称为可重构智能表面(RISs)具有将电磁波引导到特定路径的能力。三维被动元表面是数字控制,具有低能耗,并在全双工模式下工作。不同的正交频分复用(OFDM)系统在配置IRS时表现出不同的趋势,本文分析了单输入单输出(SISO)、多输入单输出(MISO)和多输入多输出(MIMO)系统的可达速率行为。分析是在考虑中频段5G频谱的情况下进行的。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Best Ways Using AI in Impacting Success on MBA Graduates A Mechanism Used to Predict Diet Consumption and Stress Management in Humans Using IoMT ICDT 2023 Cover Page Machine Learning-Based Approach for Hand Gesture Recognition A Smart Innovation of Business Intelligence Based Analytical Model by Using POS Based Deep Learning Model
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1