Paper Info
Title
Geospatial and Temporal Dynamics of Application Usage in Cellular Data Networks
Abstract
Significant geospatial and temporal correlations, in terms of traffic volume and application access, exist in cellular network usage as shown in recent studies on cellular network measurement. Such geospatial and temporal correlation patterns provide local optimization opportunities to cellular network operators for handling the explosive growth in the traffic volume observed in recent years. To the best of our knowledge, in this paper, we provide the first fine-grained joint characterization of the geospatial and temporal dynamics of application usage in a 3G cellular data network. Our analysis is based on two simultaneously collected traces from the radio access network (containing location records) and the core network (containing traffic records) of a tier-1 cellular network in the United States. To better understand the application usage in our data, we first cluster cell locations based on their application distributions and then study the geospatial and temporal dynamics of application usage across different geographical regions. The results of our measurement study present cellular network operators with fine-grained insights that can be leveraged to tune network parameter settings for better network performance and user experience.
Year
DOI
Venue
2015
10.1109/TMC.2014.2350981
Mobile Computing, IEEE Transactions  
Keywords
Field
DocType
Geospatial analysis,Computer architecture,Microprocessors,Aggregates,IP networks,Indexes,Streaming media
Geospatial analysis,Data mining,Computer science,Core network,Network simulation,Network architecture,Computer network,Wireless WAN,Cellular network,Radio access network,Network performance,Distributed computing
Journal
Volume
Issue
ISSN
14
7
1536-1233
Citations 
PageRank 
References 
13
0.57
12
Authors
5
Name
Order
Citations
PageRank
M. Zubair Shafiq154643.41
Lusheng Ji2101652.14
Alex X. Liu32727174.92
Jeffrey Pang463930.72
Jia Wang53322301.29