{"title":"A System-by-Design Approach for Optimal Planning of EM Skins in Smart Urban Areas","authors":"M. Salucci, A. Benoni, S. Goudos, A. Massa","doi":"10.1109/mocast54814.2022.9837767","DOIUrl":null,"url":null,"abstract":"This work deals with the optimal planning of low-cost/low-profile passive and static electromagnetic skins (EMSs) allowing to implement Smart Electromagnetic Environments (SEMEs) in large urban areas. Owing to the high complexity/scale of the EM problem at hand, the planning problem is formulated as a global optimization one efficiently solved thanks to a suitably-customized System-by-Design (SbD) methodology relying on Machine Learning (ML) and Evolutionary Algorithms (EAs). An illustrative example is shown to assess the effectiveness of the proposed SEME planning method in a realistic scenario.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mocast54814.2022.9837767","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
This work deals with the optimal planning of low-cost/low-profile passive and static electromagnetic skins (EMSs) allowing to implement Smart Electromagnetic Environments (SEMEs) in large urban areas. Owing to the high complexity/scale of the EM problem at hand, the planning problem is formulated as a global optimization one efficiently solved thanks to a suitably-customized System-by-Design (SbD) methodology relying on Machine Learning (ML) and Evolutionary Algorithms (EAs). An illustrative example is shown to assess the effectiveness of the proposed SEME planning method in a realistic scenario.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
