5th International workshop on Wireless Network Measurements

Research Article

Self-Similar Traffic Assessment on QoS Service Classes of WiMAX Network

  • @INPROCEEDINGS{10.1109/WIOPT.2009.5291576,
        author={Dedi Rahmawan Putra and Kai-Wei Ke and Ho-Ting Wu},
        title={Self-Similar Traffic Assessment on QoS Service Classes of WiMAX Network},
        proceedings={5th International workshop on Wireless Network Measurements},
        publisher={IEEE},
        proceedings_a={WINMEE},
        year={2009},
        month={10},
        keywords={Self-similarity SNMP OID WiMAX Network Management System QoS UGS rtPS nrtPS Best Effort.},
        doi={10.1109/WIOPT.2009.5291576}
    }
    
  • Dedi Rahmawan Putra
    Kai-Wei Ke
    Ho-Ting Wu
    Year: 2009
    Self-Similar Traffic Assessment on QoS Service Classes of WiMAX Network
    WINMEE
    IEEE
    DOI: 10.1109/WIOPT.2009.5291576
Dedi Rahmawan Putra1,*, Kai-Wei Ke1,*, Ho-Ting Wu1,*
  • 1: Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan, R.O.C.
*Contact email: t7599007@ntut.edu.tw, kwk@csie.ntut.edu.tw, htwu@csie.ntut.edu.tw

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.