{"title":"模拟气候变量对使用未经许可的U-NII波段的无线链路接收功率的影响:厄瓜多尔的案例研究","authors":"Jose Alonso, B. Ramos, I. Nolivos, Raul Mejia","doi":"10.1109/LATINCOM.2017.8240195","DOIUrl":null,"url":null,"abstract":"This article presents the analysis of the influence of environmental variables on the received signal power from a point to point wireless link (f = 5.52 GHz) in a tropical urban environment, in the cities of Guayaquil and Duran, of Ecuador. The study included data of five variables such as relative humidity (HR), atmospheric temperature (T), solar radiation (RS), rainfall (Pr) and signal power (P) for three days of measurements, during the rainy season of 2016. A graphical and correlational analysis was performed for each climatic variable with the received signal power, and three regression models were developed. The first is linear, the second is quadratic, and finally, the third is non-linear based on a logistic function with four parameters using statistics packages of the software SPSS Statistics. From the data analysis, it can be concluded that the rainfall event modulated the influence of the atmospheric temperature on the power signal response, being temperature the variable that presents the higher correlation with the power signal data.","PeriodicalId":190644,"journal":{"name":"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling the influence of climatic variables on the received power of a wireless link using an unlicensed U-NII band: A case study in Ecuador\",\"authors\":\"Jose Alonso, B. Ramos, I. Nolivos, Raul Mejia\",\"doi\":\"10.1109/LATINCOM.2017.8240195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents the analysis of the influence of environmental variables on the received signal power from a point to point wireless link (f = 5.52 GHz) in a tropical urban environment, in the cities of Guayaquil and Duran, of Ecuador. The study included data of five variables such as relative humidity (HR), atmospheric temperature (T), solar radiation (RS), rainfall (Pr) and signal power (P) for three days of measurements, during the rainy season of 2016. A graphical and correlational analysis was performed for each climatic variable with the received signal power, and three regression models were developed. The first is linear, the second is quadratic, and finally, the third is non-linear based on a logistic function with four parameters using statistics packages of the software SPSS Statistics. From the data analysis, it can be concluded that the rainfall event modulated the influence of the atmospheric temperature on the power signal response, being temperature the variable that presents the higher correlation with the power signal data.\",\"PeriodicalId\":190644,\"journal\":{\"name\":\"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LATINCOM.2017.8240195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATINCOM.2017.8240195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling the influence of climatic variables on the received power of a wireless link using an unlicensed U-NII band: A case study in Ecuador
This article presents the analysis of the influence of environmental variables on the received signal power from a point to point wireless link (f = 5.52 GHz) in a tropical urban environment, in the cities of Guayaquil and Duran, of Ecuador. The study included data of five variables such as relative humidity (HR), atmospheric temperature (T), solar radiation (RS), rainfall (Pr) and signal power (P) for three days of measurements, during the rainy season of 2016. A graphical and correlational analysis was performed for each climatic variable with the received signal power, and three regression models were developed. The first is linear, the second is quadratic, and finally, the third is non-linear based on a logistic function with four parameters using statistics packages of the software SPSS Statistics. From the data analysis, it can be concluded that the rainfall event modulated the influence of the atmospheric temperature on the power signal response, being temperature the variable that presents the higher correlation with the power signal data.