International Conference on Networking and Services (ICNS'06) 2006
DOI: 10.1109/icns.2006.102
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Simulation of User-Perceived QoS in Hybrid Broadcast and Telecommunication Networks

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“…These technical parameters can be mapped across the layers from PHY to application layer, and finally to those categories of QoS which a user of an application perceives and which hence focus on certain user-perceived effects (rather than on their causes within the network), even though the QoS parameters at each network layer contribute to these effects. [3] signal-to-noise ratio, bit error rate, modulation / spectral efficiency, energy consumption bandwidth/data rate, packet loss, delay, iitter, priority long-time stability, reliability, performance, robustness, cost efficiency of the overall system admission control, resource allocation, link quality, packet loss errors, reactivity, delay, availability …”
Section: Qos From Network Viewmentioning
confidence: 99%
“…These technical parameters can be mapped across the layers from PHY to application layer, and finally to those categories of QoS which a user of an application perceives and which hence focus on certain user-perceived effects (rather than on their causes within the network), even though the QoS parameters at each network layer contribute to these effects. [3] signal-to-noise ratio, bit error rate, modulation / spectral efficiency, energy consumption bandwidth/data rate, packet loss, delay, iitter, priority long-time stability, reliability, performance, robustness, cost efficiency of the overall system admission control, resource allocation, link quality, packet loss errors, reactivity, delay, availability …”
Section: Qos From Network Viewmentioning
confidence: 99%