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...
Uložené v:
| Vydané v: | 2005 Winter Simulation s. 17 - 17-es |
|---|---|
| Hlavný autor: | |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
Winter Simulation Conference
04.12.2005
|
| Edícia: | ACM Conferences |
| Predmet: | |
| ISBN: | 0780395190, 9780780395190 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Shrnutí: | 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. |
|---|---|
| Bibliografia: | SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25 |
| ISBN: | 0780395190 9780780395190 |
| DOI: | 10.5555/1162708.1163155 |

