NDLI: Oscillation Resolution for Massive Cell Phone Traffic Data

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Oscillation Resolution for Massive Cell Phone Traffic Data

Oscillation Resolution for Massive Cell Phone Traffic Data

Content Provider	ACM Digital Library
Author	Yang, Jie Abdesslem, Fehmi Ben Qiao, Yuanyuan Ma, Zhanyu Qi, Ling
Abstract	Cellular towers capture logs of mobile subscribers whenever their devices connect to the network. When the logs show data traffic at a cell tower generated by a device, it reveals that this device is close to the tower. The logs can then be used to trace the locations of mobile subscribers for different applications, such as studying customer behaviour, improving location-based services, or helping urban planning. However, the logs often suffer from an oscillation phenomenon. Oscillations may happen when a device, even when not moving, does not only connect to the nearest cell tower, but is instead unpredictably switching between multiple cell towers because of random noise, load balancing, or simply dynamic changes in signal strength. Detecting and removing oscillations are a challenge when analyzing location data collected from the cellular network. In this paper, we propose an algorithm called SOL (Stable, Oscillation, Leap periods) aimed at discovering and reducing oscillations in the collected logs. We apply our algorithm on real datasets which contain about 18.9~TB of traffic logs generated by more than 3~million mobile subscribers covering about 21000 cell towers and collected during 27~days from both GSM and UMTS networks in northern China. Experimental results demonstrate the ability and effectiveness of SOL to reduce oscillations in cellular network logs.
Starting Page	25
Ending Page	30
Page Count	6
File Format	PDF
ISBN	9781450343275
DOI	10.1145/2935755.2935759
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cell oscillation Mobile internet
Content Type	Text
Resource Type	Article

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