{"title":"Investigating the Performance of Different Antenna Designs for Wireless Communication Applications","authors":"D. Dubey","doi":"10.17762/msea.v71i2.2192","DOIUrl":null,"url":null,"abstract":"In this work, the findings of an in-depth study that compared the effectiveness of a variety of antenna layouts for wireless communication are presented. Antennas, due to the essential position they play in wireless networks, have the potential to have a significant impact on the overall effectiveness, dependability, and quality of communication provided by the system. This study provides an overview of the various techniques that are currently in use to investigate antenna performance. These techniques include simulation and measurement methods. In addition to this, it proposes a methodology for enhancing the analysis of antenna performance by integrating simulation and measurement techniques. When analyzing antenna performance, some of the problems that may appear include interference, limitations on bandwidth, and excessive power usage. Recent innovations in antenna design have included things like metamaterials, machine learning, and additive manufacturing, among other things. In conclusion, the research looks at a wide variety of industries, including telecommunications, aerospace and defense, Internet of Things (IoT), automotive, and medical, all of which find it beneficial to investigate antenna performance. The purpose of this paper is to provide a summary of the present state of research into increasing antenna performance and to discuss the significance of examining the performance of various antenna designs for applications involving wireless communication.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":"134 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Philippine Statistician","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17762/msea.v71i2.2192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, the findings of an in-depth study that compared the effectiveness of a variety of antenna layouts for wireless communication are presented. Antennas, due to the essential position they play in wireless networks, have the potential to have a significant impact on the overall effectiveness, dependability, and quality of communication provided by the system. This study provides an overview of the various techniques that are currently in use to investigate antenna performance. These techniques include simulation and measurement methods. In addition to this, it proposes a methodology for enhancing the analysis of antenna performance by integrating simulation and measurement techniques. When analyzing antenna performance, some of the problems that may appear include interference, limitations on bandwidth, and excessive power usage. Recent innovations in antenna design have included things like metamaterials, machine learning, and additive manufacturing, among other things. In conclusion, the research looks at a wide variety of industries, including telecommunications, aerospace and defense, Internet of Things (IoT), automotive, and medical, all of which find it beneficial to investigate antenna performance. The purpose of this paper is to provide a summary of the present state of research into increasing antenna performance and to discuss the significance of examining the performance of various antenna designs for applications involving wireless communication.
期刊介绍:
The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics: Official Statistics Computational Statistics Simulation Studies Mathematical Statistics Survey Sampling Statistics Education Time Series Analysis Biostatistics Nonparametric Methods Experimental Designs and Analysis Econometric Theory and Applications Other Applications