Scarecrow-Shaped Antenna Optimization Using Machine Learning Algorithms

IF 1.7 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
S. Bhavani, B. Raviteja, T. Shanmuganantham
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引用次数: 0

Abstract

In this article, scarecrow-shaped antenna with a Rogers RT6002 substrate with a permittivity of 2.94 and a thickness of 1 mm is presented. It is operating from 3.5 to 12 GHz frequency band. The next generation of wireless communication networks will make extensive use of machine learning (ML). It is anticipated that the growth of various communication-based applications will improve coverage and spectrum efficiency when compared with traditional systems. A wide range of domains, including antennas, can benefit from the application of ML to generate solutions. Scarecrow-shaped antenna is optimized using machine learning algorithms decision tree, random forest, XGBoost regression, K-nearest neighbor (KNN), and light gradient boosting regression (LGBR). The antenna's return loss, gain, and directivity were predicted in this work. The KNN achieved the highest accuracy in the prediction of return loss. Hence, proposed antenna is suitable for flexible wireless communication systems, IoT, 5G, and 6G.

基于机器学习算法的稻草人形天线优化
本文提出了一种基于Rogers RT6002衬底的稻草人形天线,其介电常数为2.94,衬底厚度为1 mm。它工作在3.5到12ghz频段。下一代无线通信网络将广泛使用机器学习(ML)。预计与传统系统相比,各种基于通信的应用的增长将提高覆盖范围和频谱效率。广泛的领域,包括天线,可以从机器学习的应用中受益,以产生解决方案。采用机器学习算法决策树、随机森林、XGBoost回归、k近邻(KNN)和光梯度增强回归(LGBR)对稻草人形天线进行优化。对天线的回波损耗、增益和指向性进行了预测。KNN对回波损失的预测精度最高。因此,该天线适用于灵活的无线通信系统、物联网、5G和6G。
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来源期刊
CiteScore
5.90
自引率
9.50%
发文量
323
审稿时长
7.9 months
期刊介绍: The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal''s emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector. The International Journal of Communication Systems strives to select a balance of contributions that promotes technical innovation allied to practical relevance across the range of system types and issues. The Journal addresses both public communication systems (Telecommunication, mobile, Internet, and Cable TV) and private systems (Intranets, enterprise networks, LANs, MANs, WANs). The following key areas and issues are regularly covered: -Transmission/Switching/Distribution technologies (ATM, SDH, TCP/IP, routers, DSL, cable modems, VoD, VoIP, WDM, etc.) -System control, network/service management -Network and Internet protocols and standards -Client-server, distributed and Web-based communication systems -Broadband and multimedia systems and applications, with a focus on increased service variety and interactivity -Trials of advanced systems and services; their implementation and evaluation -Novel concepts and improvements in technique; their theoretical basis and performance analysis using measurement/testing, modelling and simulation -Performance evaluation issues and methods.
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