QoE Management in Wireless Networks

Ying Wang

ISBN 10: 3319424521 / ISBN 13: 9783319424521

Editore: Berlin Springer International Publishing Springer Aug 2016, 2016

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 60 pp. Englisch.

Codice articolo 9783319424521

Dati bibliografici

• Titolo: QoE Management in Wireless Networks
• Editore: Berlin Springer International Publishing Springer Aug 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319424521
• ISBN 13: 9783319424521
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.