{"title":"LBT时间对LoRa网络性能的影响:基于信号检测定理的分析","authors":"S. Narieda, T. Fujii, K. Umebayashi","doi":"10.1109/DySPAN.2019.8935847","DOIUrl":null,"url":null,"abstract":"This paper provides analysis results that the effect of energy detection based listen before talk (LBT) time (or detection level of the LBT) on the performance of LoRa Networks. We introduce an approximated analysis method based on signal detection theorem, and we provide a collision probability based analysis results. The results show that the LBT time must be optimized for the improvement of LoRa network performances.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Effect of LBT Time on LoRa Network Performance: Signal Detection Theorem Based Analyses\",\"authors\":\"S. Narieda, T. Fujii, K. Umebayashi\",\"doi\":\"10.1109/DySPAN.2019.8935847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides analysis results that the effect of energy detection based listen before talk (LBT) time (or detection level of the LBT) on the performance of LoRa Networks. We introduce an approximated analysis method based on signal detection theorem, and we provide a collision probability based analysis results. The results show that the LBT time must be optimized for the improvement of LoRa network performances.\",\"PeriodicalId\":278172,\"journal\":{\"name\":\"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DySPAN.2019.8935847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DySPAN.2019.8935847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effect of LBT Time on LoRa Network Performance: Signal Detection Theorem Based Analyses
This paper provides analysis results that the effect of energy detection based listen before talk (LBT) time (or detection level of the LBT) on the performance of LoRa Networks. We introduce an approximated analysis method based on signal detection theorem, and we provide a collision probability based analysis results. The results show that the LBT time must be optimized for the improvement of LoRa network performances.