The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
UMTS Networks: Architecture, Mobility and Services
UMTS Networks: Architecture, Mobility and Services
A Markov-based channel model algorithm for wireless networks
Wireless Networks
Forward error correction strategies for media streaming over wireless networks
IEEE Communications Magazine
Joint source/FEC rate selection for quality-optimal MPEG-2 video delivery
IEEE Transactions on Image Processing
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Losses in real-time multimedia communications have a big impact on the quality experienced by users. In wireless networks, some application level mechanism of Forward Error Correction (FEC) is useful to protect the transmission. In order to adjust the configuration of FEC, a model of the packet-level loss process is required. This work proposes a methodology for the analysis of the loss process of packet-oriented communications using semi-Markov models, hierarchical Markov models, and Monte Carlo simulation. The methodology is applied to the analysis of HSDPA channels, and the models obtained are used to verify the performance of FEC implemented with Reed-Solomon codes.