In the context of the MACACO project, we have designed a Synthetic Mobile Data Traffic Generator (MDTGen), capable of simulating traffic-related activity patterns for different categories of subscribers and time periods for a typical day in their lives.
The generator was designed from real data from more than 6.8 million subscribers in Mexico City. We have first characterized individual subscribers’ routinary behaviour, followed by a detailed investigation of subscribers’ temporal usage patterns (i.e., “when” and “how much” traffic is generated). We have then classified the subscribers into six distinct profiles according to their usage patterns and modelled these profiles according to two daily time periods: peak and non-peak hours. Our generator takes then this profile modelling into account at the generation of data traffic for each synthetic subscriber per time period.
More information on the model and used methodology can be found on our papers mentioned here below.
If you intend to use our MDTGen, we appreciate if you could let us know by email as well as if you plan to publish your results based on this synthetic generator, we appreciate if you could cite this website and the publications hereafter mentioned.
The source code of the MDTGen as well as related information can be downloaded here.
 Eduardo Mucelli R. Oliveira, Aline Carneiro Viana, K. P. Naveen and Carlos Sarraute, “Measurement-driven mobile data traffic modeling in a large metropolitan area”, IEEE Percom, March 2015, Saint Louis, United States
 Eduardo Mucelli R. Oliveira, A. C. Viana, K. P. Naveen, and C. Sarraute. “Mobile Data Traffic Modeling: Revealing Temporal Facets”. (PDF) INRIA Research Report, RR-8613. October 2014.
 Eduardo Mucelli R. Oliveira, A. C. Viana, K. P. Naveen, and C. Sarraute. “Analysis and Modeling of Mobile Data Traffic in Mexico City”. NetMob, April 2015.
For questions and/or suggestions please write to:
|Aline Carneiro Viana