Modeling cellular network traffic with mobile call graph constraints

Authors:
Junwhan Kim;V. S. Anil Kumar;Achla Marathe;Guanhong Pei;Sudip Saha;Balaaji S. P. Subbiah
Affiliations:
Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA
Venue:
Proceedings of the Winter Simulation Conference
Year:
2011

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Abstract

The design, analysis and evaluation of protocols in cellular and hybrid networks requires realistic traffic modeling, since the underlying mobility and traffic model has a significant impact on the performance. We present a unified framework involving constrained temporal graphs that incorporate a variety of spatial, homophily and call-graph constraints into the network traffic model. The specific classes of constraints include bounds on the number of calls in given spatial regions, specific homophily relations between callers and callees, and the indegree and outdegree distributions of the call graph, for the whole time duration and intervals. Our framework allows us to capture a variety of complex behavioral adaptations and study their impacts on the network traffic. We illustrate this by a case study showing the impact of different homophily relations on the spatial and temporal characteristics of network traffic as well as the structure of the call graphs.