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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Vydáno v:2005 Winter Simulation s. 17 - 17-es
Hlavní autor: Boadi, Antonia Marie
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Winter Simulation Conference 04.12.2005
Edice:ACM Conferences
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ISBN:0780395190, 9780780395190
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Abstract 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.
AbstractList 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.
Author Boadi, Antonia Marie
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SubjectTerms 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
Title The use of hyper-hidden markov models in wireless channel simulation
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