Cognitive Networks: Autonomous Customer Experience and Resource Management

Transcription

1 Cognitive Networks: Autonomous Customer Experience and Resource Management Péter Szilágyi, Nokia BUTE 5G Technologies 25 th April, /04/2017 Nokia 2016

2 Today s challenge: massive growth of mobile Internet traffic Main characteristics $ f Diversity and massive volume From VoIP through social networking to high resolution multimedia. Uniqueness and personalization Context, location, time, device, OS, load, user specific content. Always on (never sleeps) Continuous demand and dynamic load. Photos shared by Facebook Messenger 216,302 1 Data Never Sleeps 4.0, Service Quality sensitiveness Poor service deteriorates business. Users don t accept bad quality. Encryption The amount of encrypted content has an increasing trend. 2 25/04/2017 Nokia 2016

3 The importance of customer experience (Quality of Experience, QoE) How do people experience latency? second 1 second 10 seconds Feeling of immediate response Sensing delay but still in control THE Feeling at the mercy of the system 75% OF AUDIENCE ENDURES 0-4 MINS 17% OF AUDIENCE ENDURES 5-9 MINS 4% OF AUDIENCE ENDURES How patient are people with poor video streaming experiences? 2 No. 1 CHOICE MINS 4% OF AUDIENCE ENDURES 30+ MINS VIDEO SERVICE INTERNET SERVICE CONTENT DELIVERY Who do users blame after poor video streaming experiences? 2 How does user experience impact business? Amazon: every 100 ms latency: -1% in sales. 3 Bing. 2 second slowdown: queries per user -1.8%, revenue per user -4.3%. 4 Shopzilla: performance hike (from ~7 to ~2 seconds): +25% in page views, +7-12% in revenue, -50% hardware need. 4 1 Usability Engineering, Jakob Nielsen, How Consumers Judge Their Viewing Experience, Conviva, G. Linden, Amazon, Make Data Useful; 4 O Reilly Velocity 2009 Conference 3 25/04/2017 Nokia 2016

4 QoE management: needed already for today s Internet applications End-user lifestyle Application diversity Available resources Revenue impact ubiquitous Internet access via mobile devices expectation: seamless Quality of Experience highly dynamic and versatile traffic profiles (per session) resource requirements for good QoE span a wide scale over-provisioning is not economical or feasible congestion may occur on the radio interface or at the mobile backhaul good QoE is revenue generator subscribers mandate high quality services and react to degradations Requirements for network side QoE management: real time context based target individual application sessions (granularity) actions are based on the resource requirement of each application session 4 25/04/2017 Nokia 2016

5 Cognitive stress by QoE degradation Acute stress EEG technology to record brain activity Dorsolateral prefrontal cortex Orbitofrontal cortex Cognitive load/stress 47% of smartphone users loose focus 30% rise in stress even at 1 second delay 70% loose focus peak in stress 81% loose focus critical delay: all users lose interest Streaming video delay [seconds] +44% 30% 72% EXIT +10%! increased heart rate by a 2 second delay in selfie upload frustrated by 1 st occasion of delay while uploading pictures to Facebook millennial video users lose interest after 4 seconds of delay increased stress in age group compared to /04/2017 Nokia 2016 Source: Content in the blink of an eye, Ericsson & Vodafone, 2017

6 Future service verticals and applications Virtual 3D presence 4k Video Communication AUGMENTED INTERCONNECTED Personal robot 8k Video beamer VIRTUAL Augmented gaming Real time work in cloud Smart clothes VR gaming Real time cloud access Augmented shopping Mobile living Remote Diagnosis Real-time remote control Smart watch Travel & commute Health Augmented dashboard Advanced monitoring REDEDICATED Time shift Touch & steer TACTILE Work & game while traveling People & Things HD Cams NW Assisted driving Logistics Connected home Self driving Safety & Security Tracking / inventory systems Toll collection Smart grids Reliable emergency communications Automotive Maintenance optimization AUTONOMOUS 3D 3D printing printing Traffic steering & management Waste mgmt. SUPEREFFICIENT Factory automation Real-time remote control Industry 4.0 REVOLUTIONIZED Traffic Mgmt. Utility & Energy 6 25/04/2017 Nokia 2016

7 Future service verticals and applications disruption from Internet traffic Communication patterns may be fundamentally different from currently known applications Vehicular Tactile/AR/VR M2M, IoT Future car to car / roadside communication remote object manipulation massive number of distributed devices self-driving cars platoon steering remote surgery robotics/control smart metering security/surveillance? crossroad coordination virtual/augmented reality sensor networks New requirements include: availability, reliability, multi-/local-connectivity, ultra-low latency, security, etc. 7 25/04/2017 Nokia 2016

8 Challenges and requirements Challenges to overcome Future proof system Do not consider today s applications only adaptation to new use cases should not require a major redesign or a new telco generation Do not trust QoE and service quality to always having plenty of bandwidth resources should be managed and used on demand, even under limitations Reduce system defaults pre-defined configurations and static actions lack the flexibility needed for optimal operation Dynamic and adaptive Real Time Programmable Self-learning Embed cognitive functions in the system that are capable of autonomous self-measuring/monitoring, self-learning and selfprogramming (parameterization, configuration, optimization). 8 25/04/2017 Nokia 2016

9 Cognitive network concept Dynamic & Adaptive Customer Experience Mgmt Autonomous Network & Service Optimization/Mgmt Autonomous Network & Service Optimization/Management Dynamically adapt the network to the actual or predicted demand/context. Dynamic & Adaptive Customer Experience Management Use the available resources better to maximize the customer experience and system efficiency in real time. Physical/virtual infrastructure and resources Optimal network operation from both end-to-end performance and customer experience point of view 9 25/04/2017 Nokia 2016

10 Motivation for autonomous cognitive functions also at the RAN CORE it is YouTube... Application detection and packet marking UE RAN...but how to serve it? still need to infer the specific requirements of this particular video session RAN CORE Content servers the traffic may be routed locally to keep it physically close to the communicating devices but it may need dynamic and adaptive service specific to the use case, content, application / vertical RAN Radio Access Network UE User Equipment 10 25/04/2017 Nokia 2016

11 Autonomous cognitive functions UE Content servers Cognitive resource (radio, physical/virtual) and QoE management RAN V2V RAN V2V CORE Cognitive resource (DC, transport, physical/virtual) and QoE management Embedded cognitive decision and action functions Self-configuration, -optimization, -learning, -monitoring RAN Radio Access Network UE User Equipment Disruption from GPRS/EPC paradigm: CFs are deployed through the e2e system (not limited to the core) /04/2017 Nokia 2016