移动网络延迟的多载波测量研究:香港和赫尔辛基的故事

Tristan Braud, Teemu Kämäräinen, M. Siekkinen, P. Hui
{"title":"移动网络延迟的多载波测量研究:香港和赫尔辛基的故事","authors":"Tristan Braud, Teemu Kämäräinen, M. Siekkinen, P. Hui","doi":"10.1109/MSN48538.2019.00015","DOIUrl":null,"url":null,"abstract":"Real time interactive cloud-based mobile applications such as augmented reality and cloud gaming require low and stable latency, especially in urban areas. These conditions are difficult to meet with the traditional single carrier LTE network access and consolidated server deployment in a cloud. Yet, with multiple SIM/multiple radio devices, latency can be kept under a given threshold through dynamic selection among multiple carriers and server deployment at network edge. To this end, it is necessary to understand how mobile network latency changes over time during a session with different carriers and how the server placement affects the latencies. In this paper, we present results from a measurement study of mobile network latency and jitter in 4G networks of Hong Kong and Helsinki, two very different cities in terms of population density and mobile infrastructure. Based on the results, we introduce a lightweight carrier selection algorithm that displays latencies 10 to 20% lower than single carrier operation.","PeriodicalId":368318,"journal":{"name":"2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Multi-carrier Measurement Study of Mobile Network Latency: The Tale of Hong Kong and Helsinki\",\"authors\":\"Tristan Braud, Teemu Kämäräinen, M. Siekkinen, P. Hui\",\"doi\":\"10.1109/MSN48538.2019.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real time interactive cloud-based mobile applications such as augmented reality and cloud gaming require low and stable latency, especially in urban areas. These conditions are difficult to meet with the traditional single carrier LTE network access and consolidated server deployment in a cloud. Yet, with multiple SIM/multiple radio devices, latency can be kept under a given threshold through dynamic selection among multiple carriers and server deployment at network edge. To this end, it is necessary to understand how mobile network latency changes over time during a session with different carriers and how the server placement affects the latencies. In this paper, we present results from a measurement study of mobile network latency and jitter in 4G networks of Hong Kong and Helsinki, two very different cities in terms of population density and mobile infrastructure. Based on the results, we introduce a lightweight carrier selection algorithm that displays latencies 10 to 20% lower than single carrier operation.\",\"PeriodicalId\":368318,\"journal\":{\"name\":\"2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSN48538.2019.00015\",\"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 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSN48538.2019.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

实时交互式基于云的移动应用程序,如增强现实和云游戏,需要低而稳定的延迟,特别是在城市地区。这些条件是传统的单载波LTE网络接入和云整合服务器部署难以满足的。然而,使用多个SIM卡/多个无线电设备,通过在多个运营商之间进行动态选择和在网络边缘部署服务器,可以将延迟保持在给定的阈值以下。为此,有必要了解在与不同运营商的会话期间移动网络延迟如何随时间变化,以及服务器放置如何影响延迟。在本文中,我们展示了对香港和赫尔辛基4G网络的移动网络延迟和抖动的测量研究结果,这两个城市在人口密度和移动基础设施方面非常不同。在此基础上,我们引入了一种轻量级的载波选择算法,其延迟比单载波操作低10 ~ 20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-carrier Measurement Study of Mobile Network Latency: The Tale of Hong Kong and Helsinki
Real time interactive cloud-based mobile applications such as augmented reality and cloud gaming require low and stable latency, especially in urban areas. These conditions are difficult to meet with the traditional single carrier LTE network access and consolidated server deployment in a cloud. Yet, with multiple SIM/multiple radio devices, latency can be kept under a given threshold through dynamic selection among multiple carriers and server deployment at network edge. To this end, it is necessary to understand how mobile network latency changes over time during a session with different carriers and how the server placement affects the latencies. In this paper, we present results from a measurement study of mobile network latency and jitter in 4G networks of Hong Kong and Helsinki, two very different cities in terms of population density and mobile infrastructure. Based on the results, we introduce a lightweight carrier selection algorithm that displays latencies 10 to 20% lower than single carrier operation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信