Wang, Ying.
QoE Management in Wireless Networks [electronic resource] / - 1st ed. 2017. - XII, 60 p. 26 illus., 12 illus. in color. | Binding - Card Paper | - SpringerBriefs in Electrical and Computer Engineering, 2191-8112 . - SpringerBriefs in Electrical and Computer Engineering, .
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.
9783319424545
EXTC Engineering
Communications Engineering, Networks. Computer Communication Networks. Information Systems and Communication Service.
621.382
QoE Management in Wireless Networks [electronic resource] / - 1st ed. 2017. - XII, 60 p. 26 illus., 12 illus. in color. | Binding - Card Paper | - SpringerBriefs in Electrical and Computer Engineering, 2191-8112 . - SpringerBriefs in Electrical and Computer Engineering, .
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.
9783319424545
EXTC Engineering
Communications Engineering, Networks. Computer Communication Networks. Information Systems and Communication Service.
621.382