The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Large-Scale Mobile Traffic Analysis: A Survey
Abstract
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.
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Cites
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Deep Learning in Mobile and Wireless Networking: A Survey
Zhang, C., Patras, P., & Haddadi, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2904897 · Cited by 1,768
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022
Self-citationDeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics
Ran, X., Chen, H., Zhu, X., Liu, Z., & Chen, J. (2018) · IEEE INFOCOM 2018 - IEEE Conference on Computer Communications · doi:10.1109/infocom.2018.8485905 · Cited by 450
Metadata
- Authors
- Naboulsi, D., Fiore, M., Ribot, S., & Stanica, R.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2016
- Volume
- 18
- Issue
- 1
- Pages
- 124-161
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2275165515
- Cited by
- 257
- References
- 110
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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