Mobility prediction in telecom cloud using mobile calls
作者： Daqiang Zhang , Min Chen , Mohsen Guizani , Haoyi Xiong , Daqing Zhang
关键词:
摘要: The proliferation of the telecom cloud has fostered increasing attention on location-based applications and services. Due to randomness fuzziness human mobility, it still remains open predict user mobility. In this article, we investigate large-scale mobility traces that are collected by a operator. We find mobile call patterns highly correlated with co-location at same cell tower time. extract such social connections from cellular records stored in cloud, further propose prediction system can run as an infrastructure-level service platforms. implement pattern discovery into cloud-based location tracking make online for value-added Finally, conduct couple case studies mobility-aware personalization predictive resource allocation elaborate how proposed drives new mode applications.
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