QoE Management in Wireless Networks / SpringerBriefs in Electrical and Computer Engineering (PDF)
(Sprache: Englisch)
This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE...
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This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions.
The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
Bibliographische Angaben
- Autoren: Ying Wang , Wen'an Zhou , Ping Zhang
- 2016, 1st ed. 2017, 60 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319424548
- ISBN-13: 9783319424545
- Erscheinungsdatum: 01.08.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.75 MB
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- Vorlesefunktion
Sprache:
Englisch
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