{"title":"Evaluation of Building Wireless Performance for User Equipment With Aperture Antenna","authors":"Yilong Shi;Zi-Yang Wu;Shuhao Liu;Jiliang Zhang;Jie Zhang","doi":"10.1109/JIOT.2025.3566138","DOIUrl":null,"url":null,"abstract":"The maximum indoor wireless network performance is determined by building design, making the evaluation of building wireless performance (BWP) essential during the design phase. In this study, we aim to propose a novel BWP evaluation framework that, for the first time, analyzes the influence of user equipment (UE) aperture antenna. The framework provides an analytical examination of how UE aperture antenna impacts BWP metrics, specifically interference gain (IG) and power gain (PG). We begin by refining the path gain model to incorporate the effects of aperture antenna, which allows us to derive analytical expressions for IG and PG. To validate the accuracy of the model, Monte Carlo simulations are first conducted. Subsequently, the study concludes by identifying the underlying causes of the discrepancy between two models, one accounting for aperture antenna effects and the other not. Taking the 1 GHz band as an example, numerical results demonstrate that the existing model underestimates IG by more than 50% due to the neglect of aperture antenna. At 28 GHz, the underestimation becomes more pronounced, with discrepancies increasing by a factor of 3 to 10. In contrast, the PG shows only minor variations between the two analytical models with peak deviations reaching up to 50%. These deviations, resulting from the omission of aperture considerations, may critically compromise key metrics of BWP. Therefore, our proposed model, which factors in aperture effects, is essential for accurately assessing BWP during the building design phase.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 14","pages":"28531-28542"},"PeriodicalIF":8.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Internet of Things Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10981856/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The maximum indoor wireless network performance is determined by building design, making the evaluation of building wireless performance (BWP) essential during the design phase. In this study, we aim to propose a novel BWP evaluation framework that, for the first time, analyzes the influence of user equipment (UE) aperture antenna. The framework provides an analytical examination of how UE aperture antenna impacts BWP metrics, specifically interference gain (IG) and power gain (PG). We begin by refining the path gain model to incorporate the effects of aperture antenna, which allows us to derive analytical expressions for IG and PG. To validate the accuracy of the model, Monte Carlo simulations are first conducted. Subsequently, the study concludes by identifying the underlying causes of the discrepancy between two models, one accounting for aperture antenna effects and the other not. Taking the 1 GHz band as an example, numerical results demonstrate that the existing model underestimates IG by more than 50% due to the neglect of aperture antenna. At 28 GHz, the underestimation becomes more pronounced, with discrepancies increasing by a factor of 3 to 10. In contrast, the PG shows only minor variations between the two analytical models with peak deviations reaching up to 50%. These deviations, resulting from the omission of aperture considerations, may critically compromise key metrics of BWP. Therefore, our proposed model, which factors in aperture effects, is essential for accurately assessing BWP during the building design phase.
期刊介绍:
The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.