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报告人：Dr. Anders Lindgren (Swedish Institute of Computer Science, Sweden)时间：2015 年 11 月 13 日（周五）上午 11:00-12:00地点：计算机楼 405联系人：陈阳 chenyang@fudan.edu.cn
Abstract:
A cellular association trace consists of timestamped events recording user activity in labeled cells in a cellular network. From such data one can infer that if a user appears in two different cells within a short span of time, that a handover took place, and that the coverage areas of the two cells overlap. That is, one can infer geographic information from handover behavior. One would like to expand this kind of inference to a larger scale, perhaps reconstructing a proximity graph of the cellular sites, or creating an approximate 2-dimensional embedding of the cells. We have analyzed a large-scale cellular association trace of several months of activity for several million users on a 3G network, and have found that handover behavior is actually incredibly diverse and complicated, making it very difficult to make any sort of global inferences, even in small sections of a network. In this paper we present some stable elements of handover behavior, and present several methods one can use to extract proximity information from such a trace.
Bio:
Anders Lindgren is currently a senior researcher at SICS Swedish ICT and an adjunct lecturer at Luleå University of Technology. He received his Ph.D. from Luleå University of Technology in 2006, and worked at University College London and the Universtity of Cambridge from 2007-2008. Dr. Lindgren was a pioneers within DTN research and has been active in the research field from an early stage of this new research field. He has since migrated much of this experience into his ICN research and is currently part of the team developing the NetInf ICN architecture. Anders has been involved in the work of the IRTF DTN and ICN research groups and is the co-founder of the ExtremeCom conference series.
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