Title :
Understanding data hotspots in cellular networks
Author :
Nika, Ana ; Ismail, A. ; Zhao, Ben Y. ; Gaito, Sabrina ; Rossi, Gian Paolo ; Haitao Zheng
Author_Institution :
Univ. of California, Santa Barbara, Santa Barbara, CA, USA
Abstract :
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators. One key challenge is how to provide quality of service to subscribers when their residing cell is experiencing a significant amount of traffic, i.e. becoming a traffic hotspot. In this paper, we perform an empirical study on data hotspots in today´s cellular networks using a 9-week cellular dataset with 734K+ users and 5327 cell sites. Our analysis examines in details static and dynamic characteristics, predictability, and causes of data hotspots, and their correlation with call hotspots. We believe the understanding of these key issues will lead to more efficient and responsive resource management and thus better QoS provision in cellular networks. To the best of our knowledge, our work is the first to characterize in detail traffic hotspots in today´s cellular networks using real data.
Keywords :
cellular radio; quality of service; telecommunication network management; telecommunication traffic; QoS provision; cellular dataset; cellular networks; cellular operators; data hotspots; mobile data usage; quality of service; responsive resource management; traffic hotspot; Cities and towns; Correlation; Distributed databases; Distribution functions; Graphical models; Internet; Quality of service;
Conference_Titel :
Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2014 10th International Conference on
Conference_Location :
Rhodes
DOI :
10.1109/QSHINE.2014.6928662
