Autonomic QoE Optimization in the Access Node Knowledge Plane Bart De Vleeschauwer, Pieter Simoens, Wim Van de Meerssche, Steven Latré, Filip De Turck, Bart Dhoedt, Piet Demeester Steven Van Den Berghe, Edith Gilon, Tom Van Caenegem

BBEurope 2007 conference — 2 Alcatel KPlane Workshop IBBT - IBCN – Ghent University p. 2 Services & Challenges > Novel services for residential users : VoIP, Broadcast IPTV, Video on Demand, Gaming > High requirements: interactivity, quality, Zapping Time, Artifact-free Video > Quality of Experience is essential Need for QoS/QoE management

BBEurope 2007 conference — 3 Outline > Three planes for access node QoE management > Reasoning directions > Use case & demo > Conclusion

BBEurope 2007 conference — 4 A three plane approach Element EffectorsSensors Knowledge Monitor Analyze Plan Execute Gather monitor information Summarize data Make information available Analyze monitor data Determine QoE optimizing actions Reason & learn Provide interface to actions IBM

BBEurope 2007 conference — 5 QoE Management end-to-end view

BBEurope 2007 conference — 6 Autonomic QoE management in the access node > Problems often occur between access node and user > Under control of access network provider > Access node can be service-rich

BBEurope 2007 conference — 7 Alcatel KPlane Workshop IBBT - IBCN – Ghent University MPlane > Gather monitor information > Protocol monitoring for RTP/RTCP and TCP services > Summarize monitor information > Provide interface to KPlane

BBEurope 2007 conference — 8 APlane > Provide interface to QoE enhancing actions > Possible actions to enhance the quality of a connection Choose a bit rate for a video Send FEC packets Change video stream GOP structure Purposefully degrade other (less important) services

BBEurope 2007 conference — 9 Outline > Three planes for access node QoE management > Reasoning directions > Use case & demo > Conclusion

BBEurope 2007 conference — 10 KPlane > Connects monitor data with the actions that should be executed > One engine for each home network > Implement learning behavior

BBEurope 2007 conference — 11 Reasoning directions > Analytical reasoner Mathematical equations determine actions Simple to implement but difficult to extend > Fuzzy logic Captures vagueness in monitor information A rule based approach can be used to determine actions > Neural networks Black box Network is trained with input patterns

BBEurope 2007 conference — 12 Outline > Three planes for access node QoE management > Reasoning directions > Use case & demo > Conclusion

BBEurope 2007 conference — 13 Use case Video Server Client 1 Client 2

BBEurope 2007 conference — 14 Use case description > Server sends out: Video channels in different bit rates (700 kbit/s and 2 Mbit/s) Stream of FEC packets for each channel and each bit rate > Access node MPlane: Uses information in RTP and RTCP packets to analyze the QoE KPlane: Selects the bit rate and the amount of FEC APlane: Makes the necessary changes to enforce these actions

BBEurope 2007 conference — 15 Analytical Reasoner > Probability that up to K FEC packets are lost for a stream of N data packets when there is Loss packet loss > Bitrate that should be used when there is FreeBW available and K data packets are sent for every N data packets

BBEurope 2007 conference — 16 Simulation Results

BBEurope 2007 conference — 17 Demo management GUI

BBEurope 2007 conference — 18 Demo client screen

BBEurope 2007 conference — 19 Conclusion > QoE management with three planes MPlane APlane KPlane > Access node can play pivotal role in enhancing the QoE > QoE for BCTV services can be optimized Applying FEC to solve packet loss Selecting the correct bit rate to avoid congestion > Demo

BBEurope 2007 conference — 20 Thank you for your attention Any questions?