Hidden Markov modeling for network communication channels
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An adaptive FEC algorithm using hidden Markov chains
ACM SIGMETRICS Performance Evaluation Review - Special issue on the fifth workshop on MAthematical performance Modeling and Analysis (MAMA 2003)
Quality assessment of interactive voice applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
An analytical model for end-to-end communication channel over PLCN based on QBDs
Information Processing Letters
Performance analysis for (X,S)-bottleneck cell in large-scale wireless networks
Information Processing Letters
Predicting packet loss statistics with hidden Markov models for FEC control
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Packet loss models play an essential role in computer networks analysis. Performance evaluation studies often abstract the loss and delay characteristics of a path or network with a single end-to-end analytical model. This model should be able to represent the characteristics of the path and accurately reproduce the impact of delay and losses on the studied protocol while keeping complexity low.