The use of hyper-hidden markov models in wireless channel simulation

The transmission of multimedia over satellite, cellular or mobile wireless networks introduces impairments which degrade signal quality. This thesis proposes a channel simulation model and design philosophy that represents a shift from the use of traditional network-centric design requirements to a...

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Bibliographic Details
Published in:2005 Winter Simulation pp. 17 - 17-es
Main Author: Boadi, Antonia Marie
Format: Conference Proceeding
Language:English
Published: Winter Simulation Conference 04.12.2005
Series:ACM Conferences
Subjects:
Computing methodologies
Computing methodologies > Modeling and simulation
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Mathematics of computing
Mathematics of computing > Probability and statistics
Mathematics of computing > Probability and statistics > Probabilistic representations
Mathematics of computing > Probability and statistics > Probabilistic representations > Markov networks
Mathematics of computing > Probability and statistics > Stochastic processes
Mathematics of computing > Probability and statistics > Stochastic processes > Markov processes
Networks
Networks > Network types
Networks > Network types > Mobile networks
ISBN:0780395190, 9780780395190
Online Access:Get full text
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Summary:The transmission of multimedia over satellite, cellular or mobile wireless networks introduces impairments which degrade signal quality. This thesis proposes a channel simulation model and design philosophy that represents a shift from the use of traditional network-centric design requirements to a more comprehensive approach that encompasses perceptual quality issues. PerFEC, the Perceptually-Sensitive Forward Error Control agent, employs a flexible, adaptive coding scheme that is both quality-of-service (QoS) and quality-of-perception (QoP) configurable. PerFEC is a decision agent that uses decoder output to select an error control scheme that is appropriate for the prevailing channel conditions. The channel simulation model is based on a new construct, the Hyper-Hidden Markov Model (HHMM), whose internal states have dual interpretation: they represent the user's perceptual quality as well as an estimate of the current bit-errorrate. This layering of Hidden Markov Models provides insight into the nonlinear relationship between quality-of-service metrics and perceptual quality.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0780395190
9780780395190
DOI:10.5555/1162708.1163155