Self-similar traffic assessment on QoS service classes of WiMAX network

Authors:
Dedi Rahmawan Putra;Kai-Wei Ke;Ho-Ting Wu
Affiliations:
Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan, R.O.C.
Venue:
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Year:
2009

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Abstract

WiMAX features several QoS service classes to schedule different types of traffic. In this paper, we will assess the existence of self-similar traffic for each service class. The experiment starts by capturing the traffic data with a dedicated SNMP-based Network Management System (NMS). NMS manages the deployment of fixed WiMAX network defined in IEEE 802.16d-2004 Standard and records the inbound and outbound traffic for specific object IDs (OIDs). We consider several criteria to generate the traffic for our WiMAX test-bed network such as QoS service class, traffic intensity, and application type. The recorded traffic then will be analyzed using variance plot, and RS-plot. The result shows various degree of self-similarity for different types of QoS service classes and traffic intensities.