{"title":"用于特定地点和场景无线信道模拟器中车辆阴影估计的刀刃衍射模型","authors":"Siraphop Saisa-Ard;Nopphon Keerativoranan;Jun-Ichi Takada","doi":"10.23919/comex.2023XBL0177","DOIUrl":null,"url":null,"abstract":"In developing a site- and scenario-specific wireless channel emulator, a computationally efficient shadowing model for vehicles is essential for dynamic emulation with constrained computational resources. In this work, a single-dominant-ray knife-edge diffraction model is proposed to approximate the overall shadowing gain from a cuboid-shaped vehicle by a single diffraction ray. The proposed model is validated with full-wave simulations at 760 MHz. The efficacy of the model is demonstrated through a comparison of the coefficient of determination with that obtained from full-wave simulations and the 3GPP rectangular screen model.","PeriodicalId":54101,"journal":{"name":"IEICE Communications Express","volume":"13 4","pages":"97-100"},"PeriodicalIF":0.3000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10439035","citationCount":"0","resultStr":"{\"title\":\"Knife-Edge Diffraction Model for Vehicle Shadowing Estimation in Site- and Scenario-Specific Wireless Channel Emulator\",\"authors\":\"Siraphop Saisa-Ard;Nopphon Keerativoranan;Jun-Ichi Takada\",\"doi\":\"10.23919/comex.2023XBL0177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In developing a site- and scenario-specific wireless channel emulator, a computationally efficient shadowing model for vehicles is essential for dynamic emulation with constrained computational resources. In this work, a single-dominant-ray knife-edge diffraction model is proposed to approximate the overall shadowing gain from a cuboid-shaped vehicle by a single diffraction ray. The proposed model is validated with full-wave simulations at 760 MHz. The efficacy of the model is demonstrated through a comparison of the coefficient of determination with that obtained from full-wave simulations and the 3GPP rectangular screen model.\",\"PeriodicalId\":54101,\"journal\":{\"name\":\"IEICE Communications Express\",\"volume\":\"13 4\",\"pages\":\"97-100\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2024-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10439035\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEICE Communications Express\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10439035/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEICE Communications Express","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10439035/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Knife-Edge Diffraction Model for Vehicle Shadowing Estimation in Site- and Scenario-Specific Wireless Channel Emulator
In developing a site- and scenario-specific wireless channel emulator, a computationally efficient shadowing model for vehicles is essential for dynamic emulation with constrained computational resources. In this work, a single-dominant-ray knife-edge diffraction model is proposed to approximate the overall shadowing gain from a cuboid-shaped vehicle by a single diffraction ray. The proposed model is validated with full-wave simulations at 760 MHz. The efficacy of the model is demonstrated through a comparison of the coefficient of determination with that obtained from full-wave simulations and the 3GPP rectangular screen model.