QoE Management in Wireless Networks - Ying Wang
QoE Management in Wireless Networks - Ying Wang
AutorzyYing Wang
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.
EAN: 9783319424521
Marka
Symbol
890HJK03527KS
Rok wydania
2016
Strony
74
Oprawa
Miekka
Format
15.6x23.4cm
Język
angielski

Bez ryzyka
14 dni na łatwy zwrot

Szeroki asortyment
ponad milion pozycji

Niskie ceny i rabaty
nawet do 50% każdego dnia
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Ocena: /5
Marka
Symbol
890HJK03527KS
Kod producenta
9783319424521
Rok wydania
2016
Strony
74
Oprawa
Miekka
Format
15.6x23.4cm
Język
angielski
Autorzy
Ying Wang

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.
EAN: 9783319424521
Niepotwierdzona zakupem
Ocena: /5
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