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We propose a framework called “QoE-centric Service Operation,” with which we attempt to implement a means to enable the collaboration of end-users, service providers, and network providers to achieve better QoE of telecommunication services. First, we give an overview of the transition in the quality factors of voice, video, and web-browsing applications. Then, taking into account the fact that many quality factors exist not only in networks, but also in servers and terminals, we discuss how to measure, assess, analyze, and control QoE and the technical requirements in each component. We also propose approaches to meet these requirements: packet- and KPI-based QoE estimation, compensation of sparse measurement, and quality prediction based on human behavior and traffic estimation. Finally, we explain the results of our proof-of-concept study using an actual video delivery service in Japan.
Akira TAKAHASHI
NTT
Takanori HAYASHI
NTT
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Akira TAKAHASHI, Takanori HAYASHI, "Collaborative Quality Framework: QoE-Centric Service Operation in Collaboration with Users, Service Providers, and Network Operators" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 9, pp. 1554-1563, September 2017, doi: 10.1587/transcom.2016PFI0013.
Abstract: We propose a framework called “QoE-centric Service Operation,” with which we attempt to implement a means to enable the collaboration of end-users, service providers, and network providers to achieve better QoE of telecommunication services. First, we give an overview of the transition in the quality factors of voice, video, and web-browsing applications. Then, taking into account the fact that many quality factors exist not only in networks, but also in servers and terminals, we discuss how to measure, assess, analyze, and control QoE and the technical requirements in each component. We also propose approaches to meet these requirements: packet- and KPI-based QoE estimation, compensation of sparse measurement, and quality prediction based on human behavior and traffic estimation. Finally, we explain the results of our proof-of-concept study using an actual video delivery service in Japan.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016PFI0013/_p
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@ARTICLE{e100-b_9_1554,
author={Akira TAKAHASHI, Takanori HAYASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Collaborative Quality Framework: QoE-Centric Service Operation in Collaboration with Users, Service Providers, and Network Operators},
year={2017},
volume={E100-B},
number={9},
pages={1554-1563},
abstract={We propose a framework called “QoE-centric Service Operation,” with which we attempt to implement a means to enable the collaboration of end-users, service providers, and network providers to achieve better QoE of telecommunication services. First, we give an overview of the transition in the quality factors of voice, video, and web-browsing applications. Then, taking into account the fact that many quality factors exist not only in networks, but also in servers and terminals, we discuss how to measure, assess, analyze, and control QoE and the technical requirements in each component. We also propose approaches to meet these requirements: packet- and KPI-based QoE estimation, compensation of sparse measurement, and quality prediction based on human behavior and traffic estimation. Finally, we explain the results of our proof-of-concept study using an actual video delivery service in Japan.},
keywords={},
doi={10.1587/transcom.2016PFI0013},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Collaborative Quality Framework: QoE-Centric Service Operation in Collaboration with Users, Service Providers, and Network Operators
T2 - IEICE TRANSACTIONS on Communications
SP - 1554
EP - 1563
AU - Akira TAKAHASHI
AU - Takanori HAYASHI
PY - 2017
DO - 10.1587/transcom.2016PFI0013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2017
AB - We propose a framework called “QoE-centric Service Operation,” with which we attempt to implement a means to enable the collaboration of end-users, service providers, and network providers to achieve better QoE of telecommunication services. First, we give an overview of the transition in the quality factors of voice, video, and web-browsing applications. Then, taking into account the fact that many quality factors exist not only in networks, but also in servers and terminals, we discuss how to measure, assess, analyze, and control QoE and the technical requirements in each component. We also propose approaches to meet these requirements: packet- and KPI-based QoE estimation, compensation of sparse measurement, and quality prediction based on human behavior and traffic estimation. Finally, we explain the results of our proof-of-concept study using an actual video delivery service in Japan.
ER -