{"title":"纯传输网络中干扰消除残余误差的实用模型","authors":"Jiakang Xu, M. A. Weitnauer","doi":"10.1109/WCNCW.2019.8902661","DOIUrl":null,"url":null,"abstract":"Several practical residual interference models are compared via network simulation of wireless sensor networks with interference cancellation and no spreading. The packet delivery ratio is investigated for the network with various parameters. The simulation results indicate that using a certain popular residual interference model can lead to unreliable and inaccurate results and proposed a simplified stochastic model as a close match to the full stochastic model.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Practical models for interference cancellation residual error in transmission-only networks\",\"authors\":\"Jiakang Xu, M. A. Weitnauer\",\"doi\":\"10.1109/WCNCW.2019.8902661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several practical residual interference models are compared via network simulation of wireless sensor networks with interference cancellation and no spreading. The packet delivery ratio is investigated for the network with various parameters. The simulation results indicate that using a certain popular residual interference model can lead to unreliable and inaccurate results and proposed a simplified stochastic model as a close match to the full stochastic model.\",\"PeriodicalId\":121352,\"journal\":{\"name\":\"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNCW.2019.8902661\",\"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 Wireless Communications and Networking Conference Workshop (WCNCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNCW.2019.8902661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical models for interference cancellation residual error in transmission-only networks
Several practical residual interference models are compared via network simulation of wireless sensor networks with interference cancellation and no spreading. The packet delivery ratio is investigated for the network with various parameters. The simulation results indicate that using a certain popular residual interference model can lead to unreliable and inaccurate results and proposed a simplified stochastic model as a close match to the full stochastic model.