QoE Management in Wireless Networks /
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 i...
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Main Authors: | |
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Corporate Authors: | |
Group Author: | ; |
Published: |
Springer International Publishing : Imprint: Springer,
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Publisher Address: | Cham : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
SpringerBriefs in Electrical and Computer Engineering,
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Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-319-42454-5 |
Summary: |
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. |
Carrier Form: | 1 online resource(xii,60pages): illustrations. |
ISBN: | 9783319424545 |
Index Number: | TK1 |
CLC: | TP393 |
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. |