QoE Management in Wireless Networks

Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications
Cover of the book QoE Management in Wireless Networks by Ping Zhang, Wen'an Zhou, Ying Wang, Springer International Publishing
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Author: Ping Zhang, Wen'an Zhou, Ying Wang ISBN: 9783319424545
Publisher: Springer International Publishing Publication: August 1, 2016
Imprint: Springer Language: English
Author: Ping Zhang, Wen'an Zhou, Ying Wang
ISBN: 9783319424545
Publisher: Springer International Publishing
Publication: August 1, 2016
Imprint: Springer
Language: 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.

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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.

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