QoE Management in Wireless Networks
(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.Inhaltsverzeichnis zu „QoE Management in Wireless Networks “
Introduction.- Background and Literature Survey.- Architecture of Data-driven Personalized QoE Management.- QoE Oriented Resource Allocation in Wireless Networks.- Implementation and Demonstration of QoE Measurement Platform.- Conclusion.
Bibliographische Angaben
- Autoren: Ying Wang , Wen'an Zhou , Ping Zhang
- 2016, 1st ed. 2017, XII, 60 Seiten, 12 farbige Abbildungen, Masse: 15,6 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319424521
- ISBN-13: 9783319424521
- Erscheinungsdatum: 10.08.2016
Sprache:
Englisch
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