On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Traffic Analysis and Design of Wireless IP Networks
Traffic Analysis and Design of Wireless IP Networks
Self-Similar Processes in Telecommunications
Self-Similar Processes in Telecommunications
Self-Similarity, Packet Loss, Jitter, and Packet Size: Empirical Relationships for VoIP
CONIELECOMP '08 Proceedings of the 18th International Conference on Electronics, Communications and Computers (conielecomp 2008)
Requirements for a new resource reservation model in hybrid access wireless network
WSEAS TRANSACTIONS on COMMUNICATIONS
New algorithms for QoS performance improvement in high speed networks
WSEAS TRANSACTIONS on COMMUNICATIONS
WiMAX integration in NGN network, architecture, protocols and services
WSEAS TRANSACTIONS on COMMUNICATIONS
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In this paper, through an extensive analysis it is shown that VoIP traffic jitter exhibits self-similar and heavy-tail characteristics. From this analysis, we observed that α-stable distribution particularly gives the best goodness of fit; this fact has implications on the design of de-jitter buffer size. On the other hand, we investigate the packet loss effects on the VoIP jitter, and present a methodology for simulating packet loss on VoIP jitter traces. In order to represent the packet loss process, the two state Markov model or Gilbert model is used. We proposed two new models for VoIP traffic; these models are based on voice traffic measurements, and allow relating the Hurst parameter and α parameter with the packet loss rate. We found that the relationship between these parameters and packet loss rate obeys a power-law function with three fitted parameters.