{"title":"Performance Analysis of the Reconfigurable Intelligent Surfaces Communication Systems","authors":"Omar Abu Ella","doi":"10.23919/JCIN.2024.10582831","DOIUrl":null,"url":null,"abstract":"Reconfigurable intelligent surfaces (RIS) play a vital role in meeting the growing demand for higher data rates and reliability in wireless systems. This study focuses on analyzing the performance of RIS systems to gain a deeper understanding of their potential. The paper presents a mathematical analysis of the RIS system, deriving closed-form formulae that express its characteristics including signal-to-noise ratio (SNR) distribution, ergodic and effective capacity, outage, and error probability. The obtained formulae are newly derived and unconditionally valid solutions. Numerical results demonstrate a close agreement between the derived formulae and MonteCarlo simulation outcomes.","PeriodicalId":100766,"journal":{"name":"Journal of Communications and Information Networks","volume":"9 2","pages":"184-191"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10582831","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communications and Information Networks","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10582831/","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
Reconfigurable intelligent surfaces (RIS) play a vital role in meeting the growing demand for higher data rates and reliability in wireless systems. This study focuses on analyzing the performance of RIS systems to gain a deeper understanding of their potential. The paper presents a mathematical analysis of the RIS system, deriving closed-form formulae that express its characteristics including signal-to-noise ratio (SNR) distribution, ergodic and effective capacity, outage, and error probability. The obtained formulae are newly derived and unconditionally valid solutions. Numerical results demonstrate a close agreement between the derived formulae and MonteCarlo simulation outcomes.