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QoE management in wireless networks

Wang, Ying.

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QoE management in wireless networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	QoE management in wireless networks/ by Ying Wang, Wen'an Zhou, Ping Zhang.
作者:	Wang, Ying.
其他作者:	Zhou, Wen'an.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xii, 60 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Wireless communication systems - Quality control. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-42454-5
ISBN:	9783319424545

QoE management in wireless networks
Wang, Ying.

QoE management in wireless networks[electronic resource] /by Ying Wang, Wen'an Zhou, Ping Zhang. - Cham :Springer International Publishing :2017. - xii, 60 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

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.

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.

ISBN: 9783319424545

Standard No.: 10.1007/978-3-319-42454-5doiSubjects--Topical Terms:

576290
Wireless communication systems
--Quality control.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.382

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