Multi-access Edge Computing video analytics of ITU-T P.1203 Quality of Experience for streamingmonitoring in dense client cells

Egileak: Roberto Viola

Data: 03.03.2022

Multimedia Tools and Applications


Abstract

5G promises unseen network rates and capacity. Furthermore, 5G ambitions agile networking for specific service traffic catalysing the application and network symbiosis. Nowadays, the video streaming services consume lots of networking assets and produce high dynamics caused by players mobility meaning a challenging traffic for network management. The Quality of Experience (QoE) metric defined by ITU-T P.1203 formulates the playback issues related to widely employed Dynamic Adaptive Streaming over HTTP (DASH) technologies based on a set of parameters measured at the video player.Monitoring the individual QoE is essential to dynamically provide the best experience to each user in a cell, while video players compete to enhance their individual QoE and cause high network performance

BIB_text

@Article {
author = {Roberto Viola},
title = {Multi-access Edge Computing video analytics of ITU-T P.1203 Quality of Experience for streamingmonitoring in dense client cells},
journal = {Multimedia Tools and Applications},
volume = {81},
keywds = {
5G, MEC, MOS, MPEG-DASH, QoE
}
abstract = {

5G promises unseen network rates and capacity. Furthermore, 5G ambitions agile networking for specific service traffic catalysing the application and network symbiosis. Nowadays, the video streaming services consume lots of networking assets and produce high dynamics caused by players mobility meaning a challenging traffic for network management. The Quality of Experience (QoE) metric defined by ITU-T P.1203 formulates the playback issues related to widely employed Dynamic Adaptive Streaming over HTTP (DASH) technologies based on a set of parameters measured at the video player.Monitoring the individual QoE is essential to dynamically provide the best experience to each user in a cell, while video players compete to enhance their individual QoE and cause high network performance


}
doi = {10.1007/s11042-022-12537-4},
date = {2022-03-03},
}
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