QoE Management in Wireless Networks

  • Ying Wang
  • Wen'an Zhou
  • Ping Zhang

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 1-5
  3. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 7-20
  4. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 21-32
  5. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 33-44
  6. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 45-57
  7. Ying Wang, Wen’an Zhou, Ping Zhang
    Pages 59-60

About this book


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.


Wireless networks QoE management Data-driven architecture User-service preference Resource allocation Personalized character extraction 5G

Authors and affiliations

  • Ying Wang
    • 1
  • Wen'an Zhou
    • 2
  • Ping Zhang
    • 3
  1. 1.Beijing University of Posts & TelecommunicationsBeijingChina
  2. 2.Beijing University of Posts & TelecommunicationsBeijingChina
  3. 3.Institute of Network Technology, Beijing University of Posts & TelecommunicationsBeijingChina

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-42452-1
  • Online ISBN 978-3-319-42454-5
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site