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QoE Management in Wireless Networks [electronic resource] / by Ying Wang, Wen'an Zhou, Ping Zhang.

By: Wang, Ying [author.].
Contributor(s): Zhou, Wen'an [author.] | Zhang, Ping [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XII, 60 p. 26 illus., 12 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319424545.Subject(s): Telecommunication | Computer networks  | Communications Engineering, Networks | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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