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QoE Management in Wireless Networks
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QoE Management in Wireless Networks
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96,19 €
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…
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- Author: Ying Wang, Wen'an Zhou, Ping Zhang
- Publisher: Springer-Verlag GmbH
- Year: 2016
- ISBN: 9783319424545
- ISBN-10: 3319424548
- ISBN-13: 9783319424545
- Format: PDF
- Language: English
QoE Management in Wireless Networks (e-book) (used book) | bookbook.eu
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Description
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.
- Author: Ying Wang, Wen'an Zhou, Ping Zhang
- Publisher: Springer-Verlag GmbH
- Year: 2016
- ISBN: 9783319424545
- ISBN-10: 3319424548
- ISBN-13: 9783319424545
- Format: PDF
- Language: English English
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.
Reviews