Mobile data traffic is increasing rapidly and wire- less spectrum is becoming a more and more scarce resource. This makes it highly important to operate the mobile network efficiently. In this paper we are proposing a novel lightweight measurement technique that can be used as a basis for advanced resource optimization algorithms to be run on mobile phones. Our main idea leverages an original packet dispersion based, technique to estimate both per user capacity and asymptotic dispersion rate. This allows passive measurements using only existing mobile traffic. Our technique is able to efficiently filter outliers introduced by mobile network schedulers. In order to verify the feasibility of our measurement technique, we run a week-long measurement campaign spanning two cities in two countries, different radio technologies, and covering all times of the day. The campaign demonstrates that our technique is effective even if it is provided only with a small fraction of the exchanged packets of a flow. The only requirement for the input data is that it should consist of a few consecutive packets that are gathered periodically. This makes the measurement algorithm a good candidate for inclusion in OS libraries to allow for advanced resource optimization and application-level traffic scheduling, based on current and predicted future user capacity.

About Foivos Michelinakis

Foivos Michelinakis received his electrical and computer engineering diploma from the National Technical University of Athens (NTUA) in February 2011 (top 10% of class). During his subsequent army service, he was in the Research and Informatics Corps of the Greek Army, located at the School of Military Informatics for Senior Officers. Since October 2012, he is a PhD student at IMDEA Networks.

His research interests are Cloud Computing; Content Distribution Networks; Network Economics.

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