Large-Scale Mobile Traffic Analysis: A Survey

被引:159
作者
Naboulsi, Diala [1 ,2 ]
Fiore, Marco [1 ,3 ]
Ribot, Stephane [4 ]
Stanica, Razvan [1 ,2 ]
机构
[1] Inria UrbaNet, F-69621 Villeurbanne, France
[2] Inst Natl Sci Appl INSA Lyon, F-69621 Villeurbanne, France
[3] CNR IEIIT, Natl Res Council, Inst Elect Informat & Telecommun Engn, I-10129 Turin, Italy
[4] Univ Lyon, F-69007 Lyon, France
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2016年 / 18卷 / 01期
关键词
Cellular networks; mobile communication; data analysis; data collection; CELL PHONES; MODEL; PATTERNS; PREDICTABILITY; DYNAMICS; ORIGIN; IMPACT;
D O I
10.1109/COMST.2015.2491361
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article surveys the literature on analyses of mobile traffic collected by operators within their network infrastructure. This is a recently emerged research field, and, apart from a few outliers, relevant works cover the period from 2005 to date, with a sensible densification over the last three years. We provide a thorough review of the multidisciplinary activities that rely on mobile traffic datasets, identifying major categories and sub-categories in the literature, so as to outline a hierarchical classification of research lines. When detailing the works pertaining to each class, we balance a comprehensive view of state-of-the-art results with punctual focuses on the methodological aspects. Our approach provides a complete introductory guide to the research based on mobile traffic analysis. It allows summarizing the main findings of the current state-of-the-art, as well as pinpointing important open research directions.
引用
收藏
页码:124 / 161
页数:38
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