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 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.

List of 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.

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.

Product details

• Authors: Yin Wang, Ying Wang, Ping Zhang, Wen'an Zhang, Wen'a Zhou, Wenan Zhou, Wen'an Zhou
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783319424521
• ISBN: 978-3-31-942452-1
• No. of pages: 60
• Dimensions: 150 mm x 213 mm x 6 mm
• Weight: 125 g
• Illustrations: XII, 60 p. 26 illus., 12 illus. in color.
• Series: SpringerBriefs in Electrical and Computer Engineering; SpringerBriefs in Electrical and Computer Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; C, engineering, Electrical Engineering, Computer Communication Networks, Communications Engineering, Networks, Information Systems and Communication Service, Computers, Computer communication systems, Computer networking & communications, Network hardware