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5G Network Managament for Inteligent Transport Systems
- 1. 5G Network management of IntelligentTransport Systems Aneta vulgarakis feljan Ericsson Research
- 2. © Ericsson 2015| ADCOM 2015 | Page 2 Agenda THE WHY THE WHAT THE HOW EXAMPLES CONCLUSIONS
- 3. © Ericsson 2015| ADCOM 2015 | Page 3 Agenda THE WHY
- 4. © Ericsson 2015| ADCOM 2015 | Page 4 Industry transformation Transformed IndustriesTraditional Industries Devices Applications Operators & Network Digitalize & Mobilize
- 5. © Ericsson 2015| ADCOM 2015 | Page 5 Future NETWORKED SOCIETY Boom of OTT applications/services Efficient Industries and Society Text Global Standards Mobile Media Delivery Massive M2M Communications Energy Efficiency Critical Machine Type Communications
- 6. © Ericsson 2015| ADCOM 2015 | Page 6 One network – 5G multiple industries – Diverse Usecases @ A common network platform 10-100X End-user Data Rates 5X Lower Latency 10-100X Connected Devices 10X Battery Life 1000X Mobile Data Volumes Access Core Cloud
- 7. © Ericsson 2015| ADCOM 2015 | Page 7 MWC’2015
- 8. © Ericsson 2015| ADCOM 2015 | Page 8 THE CHALLENGE As complexity of systems grows, there is a need in effective management for both Telecom and Industry and Society customers COMPLEXITY Diverse QoS THE NEED Automation allows self- configuration, rapid deployment of new services as well as ensuring desired system properties. AUTOMATION SYSTEMIC PERSPECTIVE HORIZONTALIZATION THE RESULT › Cut fuel costs and increased First to launch LTE in the US › Boosted mobile broadband performance, driving down network costs › 15x increase in throughput and spectral efficiencies THE GOAL Value creation can be achieved by extending ourselves beyond connectivity management and providing decision across the stack ensuring optimal e2e solution running on a relevant NW NEW VALUES RELEVANT NETWORKS Decision support
- 9. © Ericsson 2015| ADCOM 2015 | Page 9 Complexity in the Networked Society e.g. transportation systems are increasingly complex and full of sensors, smart devices and steered by multiple services running on both devices and cloud the integration of components like trucks, trailers and containers into a 5G system shall be simple Self configuring NO admin
- 10. © Ericsson 2015| ADCOM 2015 | Page 10 Differentiated Quality of Service Live video feed from front camera to the driver of vehicle behind for safer overtaking › High bandwidth › Low latency › High critical Automatic meter reading and sending data to the cloud • High bandwidth • Less critical Electric Utility Company Smart Meters User Mix of criticality & changes in mobile n/ws Prioritised data streams
- 11. © Ericsson 2015| ADCOM 2015 | Page 11 Agenda THE WHAT
- 12. © Ericsson 2015| ADCOM 2015 | Page 12 – Systems with embedded software that – directly record physical data using sensors and affect physical processes using actuators; – evaluate and save recorded data, and actively or reactively interact with both with the physical and digital world; – are connected with one another and in global networks via digital communication facilities – use globally available data and services; – have a series of dedicated, multimodal human-machine interfaces Cyber-Physical Systems
- 13. © Ericsson 2015| ADCOM 2015 | Page 13 Raw data feeds from network Cyber-Physical System control stack Business objectives Reasoning and Formal Methods Semantics and context Raw data feeds from devices Available assets presentation application Technologies and Components Applied Context Declarative and Procedural Knowledge Real World Model Observation and Control Things and Places Decision Support, Automation & Management Sensors & Actuators Data Analytics Processed data feeds Analytics Data capture, Actuator commands Machine learning, Stream analytics, Pattern recognition, Anomaly detection Semantic annotation, Entity of Interest modeling Knowledge management, verification and synthesis, reasoning, workflow optimization People/GoodsLogistics PlatooningviaInfrastructure ConnectivityNetworks Core NW RANCapillary Network events UC 1 UC 2 … UC N ABSTRACTIONANDSEMANTICS CONTROLANDACTUATION IoT Services
- 14. © Ericsson 2015| ADCOM 2015 | Page 14 Agenda THE HOW
- 15. © Ericsson 2015| ADCOM 2015 | Page 15 A paradigm shift in mobile network implementation Customers Private individuals, B2B Customers Private individuals, B2B Network Service Lifecycle Management Network Service Lifecycle Management DevicesDevices Radio AccessRadio Access Core NetworkCore Network Service control Actuation & Monitoring Tailored Network & Services Non-automated Years-long services Telco (e.g. GSM, 3G, LTE) lifecycle management function Customers Private individuals, Small & medium enterprises SMEs, large multinational org., institutes and govt. Customers Private individuals, Small & medium enterprises SMEs, large multinational org., institutes and govt. 5G Service Lifecycle Management 5G Service Lifecycle Management DevicesDevices Core NetworkCore Network Radio AccessRadio Access Service control Actuation & Monitoring Services Level Agreements, negotiations/renegotiations Virtualization Partition Core & Radio Isolation Billions of devices Different nature (vehicles, smartphones, etc) Largely automated Short & long services 5G Service lifecycle management function Specific devices
- 16. © Ericsson 2015| ADCOM 2015 | Page 16 Customer Service Offerings Network Slice Blueprints /Network service templates Customer Service Offerings Network Slice Blueprints /Network service templates Resources “Toolbox” Virtual resources Non-virtual resources Services provided by the different operator domains (Transport, Infrastructure & Platform, Access and Network Functions, …) Resources “Toolbox” Virtual resources Non-virtual resources Services provided by the different operator domains (Transport, Infrastructure & Platform, Access and Network Functions, …) Mobile Broadband Nomadic Broadband Wire-line Internet access Industry Automation Enterprise Communication Massive Sensors/Actuator Health Care …... …… …... …… Physical Resources (Access, Connectivity, Computing, Storage, ..) Logical NetworksNetwork Service Orchestration Service n Health Robotic communication Media Mobile Broadband Network Slice Composition 5G –Service creation using network slices
- 17. © Ericsson 2015| ADCOM 2015 | Page 17 Network Slice GENERIC USE CASE I want service A 1 3 Would you mind service A*? 4 Ok! 6 Actuation N Current status of the world RAN GUI Intelligence Knowledge Base Models Analytics (numbers) Analysis (models) AI techniques 2 Analysis / Planning 8 Resource Decommissioning Network CORE
- 18. © Ericsson 2015| ADCOM 2015 | Page 18 User Interface Layer 5G Service Lifecycle Management Layer Orchestration Layer: Assignment of Resources to the Network Slices Control Layer: Reservation, release of core network and radio resources Core Network Virtualized & Non-Virtualized Hardware Radio Access Base Stations, WiFi Hotspots, Capillary Gateways, etc. Costumer 5G Network Owner Radio Access / Network Core Operator Management Function Access APIs SLA Creation (Generation of a Network Slice Deployment Description) Slice Monitoring, Resizing and Decommisioning Network Resource Registration SLA Deployment and Control API Provisions resources for new network slices, serving newly contracted customer SLAs, based on the Network Slice Descriptions Modifies, terminates SLAs by resizing/releasing resources of corresponding network slices. Core N/W and Radio Access Configuration APIs Allocates/releases resources (e.g. by instantiating containers or Virtual Machines in the core Network, reserving shared radio access Modifies, terminates SLAs by resizing/releasing resources of corresponding network slices. Resource Control APIs Device Management Access APIs Conceptual view of the architecture of a 5g network Devices Vehicles, Sensors, Mobile Phones, Drones, etc.
- 19. © Ericsson 2015| ADCOM 2015 | Page 19 User Interface Layer Service Description Creation Costumer Service Deployment 5G Operator Service Monitoring and Decommisioning PROTOTYPE IMPLEMENTATION OF A 5g system Analysis ModuleService Description SLA store Monitoring and Service Module Monitoring and Service Decommissioning Module Service Parameter Description Present parameters of chosen service to user 5G Service Lifecycle Management Layer Service requirements Store new SLA Remove SLA Orchestration and Control Layer Cloudify Cloudify API Unistall and Deleter Deployment Radio Access and Core Network Openstack O/S Core N/W hardware and software Vehicles, Sensors, Mobile Phones, Drones, etc. Devices Radio Access Network Stub Cloudify API Deploy and Install Deployment Celopmeter Data pushed to ELK (Elastic Search, Logstash and Kibana) OpenStack API
- 20. © Ericsson 2015| ADCOM 2015 | Page 20 KMAF Actuation Data/Event Feeds Upper Ontology Common Sense delivering trains navigation trailer containers logistics Actions Presentation Knowledge Assets Inference Simulation Verification What-if Analysis Property Check Domain Expert Technologies behind the scenes -KMAF Knowledge Acquisition Module Knowledge User Mission/Goal (Approver)
- 21. © Ericsson 2015| ADCOM 2015 | Page 21 Technologies behind the scenes – DYNAMIC PLANNING Model of the real world REAL WORLD PLANNER EXECUTOR AND MONITOR Modeling Sensing Actuation Behavioral Reactive Planning Domain Independent (move-to-next-segment t2 s2 s6) (move-to-next-segment t1 s1 s4) (move-to-next-segment t2 s6 s8) (move-to-next-segment t1 s4 s5) (move-to-next-segment t1 s5 s7) (move-to-next-segment t2 s8 s10) (move-to-next-segment t2 s10 s11) (pickup-package t1 s7 p2 c1) (move-to-next-segment t2 s11 s12) (move-to-next-segment t1 s7 s9) (move-to-next-segment t2 s12 s15) (move-to-next-segment t1 s9 s11) (move-to-next-segment t2 s15 s19) (move-to-next-segment t1 s11 s12) (move-to-next-segment t2 s19 s21) (drop-package t1 s12 p2 c2) (move-to-next-segment t2 s21 s5) (move-to-next-segment t1 s12 s15) (move-to-next-segment t2 s5 s7) (pickup-package t2 s7 p1 c1) (move-to-next-segment t2 s7 s9) (move-to-next-segment t2 s9 s11) (move-to-next-segment t2 s11 s12) (drop-package t2 s12 p1 c2)
- 22. © Ericsson 2015| ADCOM 2015 | Page 22 Agenda EXAMPLES
- 23. © Ericsson 2015| ADCOM 2015 | Page 23 CONCEPTUAL user interface – ORDERING A SERVICE
- 24. © Ericsson 2015| ADCOM 2015 | Page 24 MWC’2015
- 25. © Ericsson 2015| ADCOM 2015 | Page 25 › Transport two containers within limited period of time. Ask the system if it can move 5 containers from one storage to another within 200 time units (which it cannot). The system suggests to use two trains and increase delivery time to 300 time units. An operator confirms the recommendation. Use case
- 26. © Ericsson 2015| ADCOM 2015 | Page 26 CITY TRANSPORT USE CASE Connected Traffic Cloud Connected Vehicle Cloud Traffic Authority Reaching out to vehicles and road users TRAFFIC MANAGEMENT Optimize routes based on available data (inc. Network data) Intelligent Management
- 27. © Ericsson 2015| ADCOM 2015 | Page 27 CITY BUS TRANSPORT USE CASE Legend Smart City People & Vehicles Radio Access People Buses and Trucks Vehicle Actuation and Mobility Data Human Mobility Data Network Core (virtual and physical assets) Capacity Flow and Management SDK 5G Network Lifecycle Management Function Network Operator(s) Packet and Network Core (virtual, physical assets) Ericsson Research Focus Third Party Vendors Dynamic Bus-Truck Scheduling based On Passenger Demand Dynamic Bus-Truck Routing Platooning Autonomous Driving … Backhaul Network Slice Customers
- 28. © Ericsson 2015| ADCOM 2015 | Page 28 Agenda CONCLUSIONS
- 29. © Ericsson 2015| ADCOM 2015 | Page 29 WHAT TO TAKE AWAY FROM HERE Mobile networks are transforming to become more relevant for diverse industries: –Management becomes more complex –Differentiated quality of service –Automation at different levels is key –Network slicing to provide quality of service and isolation meeting the requirements –Safety requirements from industries propagate into mobile networks
- 30. © Ericsson 2015| ADCOM 2015 | Page 30 Questions?
- 31. © Ericsson 2015| ADCOM 2015 | Page 31