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Publication . Article . 2016

Lightweight capacity measurements for mobile networks

Foivos Michelinakis; Nicola Bui; Guido Fioravantti; Joerg Widmer; Fabian Kaup; David Hausheer;
Open Access  
Published: 06 Feb 2016 Journal: Computer Communications, volume 84, pages 73-83 (issn: 0140-3664, Copyright policy )
Publisher: Elsevier BV
Country: Spain
Packet dispersion technique tuned for mobile networks.Lightweight and passive: its input is only already existing traffic.Is able to provide accurate results with a fraction of the exchanged packets.Is not affected by the scheduling process of eNodeBs and other artifacts.Verified by a week-long measurement campaign and extensive simulations. Mobile data traffic is increasing rapidly and wireless spectrum is becoming a more and more scarce resource. This makes it highly important to operate mobile networks 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 per user capacity. This allows passive measurements by just sampling the existing mobile traffic. Our technique is able to efficiently filter outliers introduced by mobile network schedulers and phone hardware. In order to asses and verify our measurement technique, we apply it to a diverse dataset generated by both extensive simulations and a week-long measurement campaign spanning two cities in two countries, different radio technologies, and covering all times of the day. The results demonstrate 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.
Subjects by Vocabulary

Microsoft Academic Graph classification: Cellular network Mobile computing Mobile broadband Computer science Real-time computing Network packet Scheduling (computing) Wireless business.industry business


Computer Networks and Communications, Mobile capacity, measurement, packet dispersion, Mobile capacity, measurement, Packet dispersion

Funded by
Measuring Mobile Broadband Networks in Europe
  • Funder: European Commission (EC)
  • Project Code: 644399
  • Funding stream: H2020 | RIA
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