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.
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