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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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2017.
Imprint: Springer, |
| Edition: | 1st ed. 2017. |
| Series: | SpringerBriefs in Electrical and Computer Engineering,
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| Subjects: | |
| Online Access: | Full-text access |
| 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. |
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| Physical Description: | XII, 60 p. 26 illus., 12 illus. in color. online resource. |
| ISBN: | 9783319424545 |
| ISSN: | 2191-8120 |
| DOI: | 10.1007/978-3-319-42454-5 |