5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate

F. Malandrino, C. Chiasserini
{"title":"5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate","authors":"F. Malandrino, C. Chiasserini","doi":"10.23919/WONS.2019.8795501","DOIUrl":null,"url":null,"abstract":"In 5G research, it is traditionally assumed that vertical industries (a.k.a verticals) set the performance requirements for the services they want to offer to mobile users, and the mobile operators alone are in charge of orchestrating their resources so as to meet such requirements. Motivated by the observation that successful orchestration requires reliable traffic predictions, in this paper we investigate the effects of having the verticals, instead of the mobile operators, performing such predictions. Leveraging a real-world, large-scale, crowd-sourced trace, we find that involving the verticals in the prediction process reduces the prediction errors and improves the quality of the resulting orchestration decisions.","PeriodicalId":185451,"journal":{"name":"2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WONS.2019.8795501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In 5G research, it is traditionally assumed that vertical industries (a.k.a verticals) set the performance requirements for the services they want to offer to mobile users, and the mobile operators alone are in charge of orchestrating their resources so as to meet such requirements. Motivated by the observation that successful orchestration requires reliable traffic predictions, in this paper we investigate the effects of having the verticals, instead of the mobile operators, performing such predictions. Leveraging a real-world, large-scale, crowd-sourced trace, we find that involving the verticals in the prediction process reduces the prediction errors and improves the quality of the resulting orchestration decisions.
5G流量预测:如果垂直行业和移动运营商合作
在5G研究中,传统上认为垂直行业(又称垂直行业)为他们想要提供给移动用户的服务设定了性能要求,而移动运营商则负责协调他们的资源以满足这些要求。由于观察到成功的编排需要可靠的流量预测,在本文中,我们调查了由垂直行业而不是移动运营商执行此类预测的影响。利用一个真实的、大规模的、众包的跟踪,我们发现在预测过程中涉及到垂直部门可以减少预测错误,并提高最终编制决策的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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