基于决策树和随机森林回归模型的5G多频段天线设计

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI:10.1109/SPIN52536.2021.9566117

Shilpa Pavithran, Sanoj Viswasom, S. S, Asha J

{"title":"基于决策树和随机森林回归模型的5G多频段天线设计","authors":"Shilpa Pavithran, Sanoj Viswasom, S. S, Asha J","doi":"10.1109/SPIN52536.2021.9566117","DOIUrl":null,"url":null,"abstract":"In this paper, a comparative study of decision tree and random forest regression models for the design of a multiband inverted E and U-shaped compact antenna for future 5G applications is presented. The results obtained from these regression models are compared with the simulation results of openEMS software. Found that Random Forest (RF) regression model results are in good agreement with the openEMS results when compared to the decision tree regression model. The advantage of the proposed method lies in the fact that the final RF model can be used for the designing of this multiband antenna between 2GHz to 10GHz range of frequencies.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Designing of a 5G Multiband Antenna Using Decision Tree and Random Forest Regression Models\",\"authors\":\"Shilpa Pavithran, Sanoj Viswasom, S. S, Asha J\",\"doi\":\"10.1109/SPIN52536.2021.9566117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a comparative study of decision tree and random forest regression models for the design of a multiband inverted E and U-shaped compact antenna for future 5G applications is presented. The results obtained from these regression models are compared with the simulation results of openEMS software. Found that Random Forest (RF) regression model results are in good agreement with the openEMS results when compared to the decision tree regression model. The advantage of the proposed method lies in the fact that the final RF model can be used for the designing of this multiband antenna between 2GHz to 10GHz range of frequencies.\",\"PeriodicalId\":343177,\"journal\":{\"name\":\"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIN52536.2021.9566117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN52536.2021.9566117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文针对未来5G应用的多频段倒E型和u型紧凑型天线设计，对决策树和随机森林回归模型进行了对比研究。并与openEMS软件的仿真结果进行了比较。对比决策树回归模型，发现随机森林(Random Forest, RF)回归模型结果与openEMS结果吻合较好。该方法的优点在于最终的射频模型可用于2GHz ~ 10GHz频率范围内的多频段天线设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Designing of a 5G Multiband Antenna Using Decision Tree and Random Forest Regression Models

In this paper, a comparative study of decision tree and random forest regression models for the design of a multiband inverted E and U-shaped compact antenna for future 5G applications is presented. The results obtained from these regression models are compared with the simulation results of openEMS software. Found that Random Forest (RF) regression model results are in good agreement with the openEMS results when compared to the decision tree regression model. The advantage of the proposed method lies in the fact that the final RF model can be used for the designing of this multiband antenna between 2GHz to 10GHz range of frequencies.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)

自引率

0.00%

发文量