| 「Cognition-based networks: applying cognitive science to wireless networking」
.University of Padova
.Outline
.Motivation
.Cognition applied to wireless
.Evolution of the cognitive paradingm
.The cognition cycle
.Supervised vs unsupervised learning
.Learning in networks
.Cognition-based Network
.Hierarchical processing
.Unsupervised deep learning
.Deep networks for classification
.Examples of application
.Multimedia traffic growth
.Challenges for video sysems
.Our approach
.SSIM
.SSIM versus RSF
.SSIM polynomial approximation
.Proposed approach
.Learning via RBM:accuracy
.CognitiveVideo Admission Control &Resource Management
.Cognitive VAC
.Cognitive RM algorithms
.Cognitive video admission control
.QoE-aware proxy vs legacy viedo clients
.Conclusions -video
.Handover process
.Traditional Cellular network
.3GPP Handover Procedure
.Average capacity
.Cognitive networking testbeds
.Our approach:CARMEN
.Example results -TCP
.Conclusion-CARMEN
.Conclusions
.Thanks to our sponsors
.A new venue for cognet research |
