{"title":"LTE上行链路端到端延迟抖动:简单模型、实证验证与应用","authors":"Megha Sahu, A. Kherani","doi":"10.1109/COMSNETS48256.2020.9027397","DOIUrl":null,"url":null,"abstract":"We address the problem of achieving a target end-to-end per-packet delay jitter for an uplink packet traffic from a mobile device to a central server. We provide simple analytical models for predicting the delay jitter and their empirical validation. The structural dependency of the end-to-end per-packet delay jitter on various Constant Bit Rate (CBR) traffic parameters, namely, burst length and inter-burst time, are then utilized to develop a stochastic approximation algorithm to adapt these parameters to achieve a target end-to-end delay jitter. Initial understanding is simulation-based using Network Simulator (NS3). Further, our model is evaluated against the experimental results obtained on a reported real-world implementation.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"End-to-End Delay Jitter in LTE Uplink: Simple Models, Empirical Validation & Applications\",\"authors\":\"Megha Sahu, A. Kherani\",\"doi\":\"10.1109/COMSNETS48256.2020.9027397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of achieving a target end-to-end per-packet delay jitter for an uplink packet traffic from a mobile device to a central server. We provide simple analytical models for predicting the delay jitter and their empirical validation. The structural dependency of the end-to-end per-packet delay jitter on various Constant Bit Rate (CBR) traffic parameters, namely, burst length and inter-burst time, are then utilized to develop a stochastic approximation algorithm to adapt these parameters to achieve a target end-to-end delay jitter. Initial understanding is simulation-based using Network Simulator (NS3). Further, our model is evaluated against the experimental results obtained on a reported real-world implementation.\",\"PeriodicalId\":265871,\"journal\":{\"name\":\"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSNETS48256.2020.9027397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS48256.2020.9027397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We address the problem of achieving a target end-to-end per-packet delay jitter for an uplink packet traffic from a mobile device to a central server. We provide simple analytical models for predicting the delay jitter and their empirical validation. The structural dependency of the end-to-end per-packet delay jitter on various Constant Bit Rate (CBR) traffic parameters, namely, burst length and inter-burst time, are then utilized to develop a stochastic approximation algorithm to adapt these parameters to achieve a target end-to-end delay jitter. Initial understanding is simulation-based using Network Simulator (NS3). Further, our model is evaluated against the experimental results obtained on a reported real-world implementation.