Conference paper Open Access

Analysis and Modeling of Mobile Traffic Using Real Traces

Trinh, Hoang Duy; Bui, Nicola; Widmer, Joerg; Giupponi, Lorenza; Dini, Paolo

The analysis of real mobile traffic traces is helpful to understand usage patterns of cellular networks.
In particular, mobile data may be used for network optimization
and management in terms of radio resources, network planning, energy saving, for instance. However, real network data from the operators is often difficult to be accessed, due to legal and privacy issues. In this
paper, we overcome the lack of network information using a LTE sniffer capable of decoding the unencrypted LTE control channel and we present a temporal and spatial analysis of the recorded traces. Moreover, we present a methodology to derive a stochastic characterization for the daily variation of the LTE traffic. We compare our results to the traffic model proposed in the FP7 EARTH project [1] and we show that, with a limited number of states, our model presents a high level of accuracy in
terms of first and second order statistics.

Grant numbers : The research leading to this work has received funding from the Spanish Ministry of Economy and Competitiveness under grant TEC2014-60491-R (5GNORM).© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Files (282.6 kB)
Name Size
Analysis and Modeling of Mobile Traffic.pdf
md5:6a8926067eb117d3c2c5cda94d1eacf1 		282.6 kB Download
58
14
views
downloads
All versions This version
Views 5858
Downloads 1414
Data volume 4.0 MB4.0 MB
Unique views 5858
Unique downloads 1414
More info on how stats are collected.
Indexed in
Publication date:
October 8, 2017
DOI:
10.5281/zenodo.1033638

Zenodo DOI Badge

DOI 

10.5281/zenodo.1033638

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1033638.svg)](https://doi.org/10.5281/zenodo.1033638)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1033638.svg
   :target: https://doi.org/10.5281/zenodo.1033638

HTML 

<a href="https://doi.org/10.5281/zenodo.1033638"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.1033638.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.1033638.svg

Target URL 

https://doi.org/10.5281/zenodo.1033638

Grants:
European Commission:
  • SCAVENGE - Sustainable CellulAr networks harVEstiNG ambient Energy (675891)
Meeting:
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications ((IEEE PIMRC 2017)), Montreal (Canada), 8-13 October 2017
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.1033638 Oct 8, 2017
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.1033637. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export