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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| Published in: | 2005 Winter Simulation pp. 17 - 17-es |
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| Main Author: | |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Winter Simulation Conference
04.12.2005
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| Series: | ACM Conferences |
| Subjects: | |
| ISBN: | 0780395190, 9780780395190 |
| Online Access: | Get full text |
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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. |
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| 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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