Measuring serendipity: connecting people, locations and interests in a mobile 3G network
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Characterizing and modeling internet traffic dynamics of cellular devices
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
A first look at cellular machine-to-machine traffic: large scale measurement and characterization
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
A first look at cellular network performance during crowded events
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
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To cope with the rapid increase in mobile data traffic volume, mobile network operators can leverage the diversity in traffic patterns to improve network performance. In this paper, we show how can mobile network operators leverage diversity across different devices and geographical regions to improve traffic models and radio resource allocation, respectively. We conduct trace-driven simulations using data sets collected from an operational mobile network to evaluate our proposed approaches. Our experimental results indicate that diversity-aware traffic model refinements can improve the accuracy of traffic models and radio resource allocation.