5G, its Challenges, & how to deal with these challenges
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1 5G, its Challenges, & how to deal with these challenges Rafia Inam Workshop on Architectural Challenges in Autonomous Systems, Jan 2016 Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 1
2 Industry transformation Traditional Industries Transformation Transformed Industries Operators & Network Devices Applications Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 2
3 Future NETWORKED SOCIETY Boom of OTT applications Efficient Industries and Society Energy Efficiency Massive M2M Communications Critical Machine Type Communications Mobile Media Delivery Global Standards Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 3
4 One network 5G multiple industries Diverse Usecases Logistics Tracking Healthcare 5X Lower Latency X End-user Data Rates 1000X Mobile Data Volumes 10X Battery Life X Connected Devices Automated Vehicle Energy E-commerce Access Core Cloud A common network platform Smart Agriculture Ericsson. (2015). 5G Sytems: Enabling industry and society transformation. Erisson White Paper Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 4
5 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 Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 5
6 Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 6 Mobile World Congress 2015
7 Complexity in the Networked Society Reduce service creation time Self configuring NO admin 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 Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 7
8 Differentiated Quality of Service Mix of criticality & changes in mobile n/ws Prioritised data streams Live video feed from front camera to the driver of vehicle behind for safer overtaking High bandwidth Low latency Highly critical Automatic meter reading and sending data to the cloud High bandwidth Less critical Smart Meters Electric Utility Company User Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 8
9 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 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 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 Decision support NEW VALUES RELEVANT NETWORKS THE NEED Automation allows selfconfiguration, rapid deployment of new services as well as ensuring desired system properties. AUTOMATION SYSTEMIC PERSPECTIVE HORIZONTALIZATION Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 9
10 5G Network Slice Composition & Activation Customer Service Offerings Network Slice Blueprints: Health Care Service n Mobile Wire-line Broadband Internet access Nomadic Enterprise Broadband Communication Industry Automation Massive Sensors/Actuator Health Robotic communication Media Network Slice Composition Network Slice Activation Mobile Broadband Logical Networks Resources Toolbox Virtual resources Non-virtual resources Physical Resources (Access, Connectivity, Computing, Storage,..) Services provided by the different operator domains (Transport, Infrastructure & Platform, Access and Network Functions, ) Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 10
11 A paradigm shift in mobile network implementation Non-automated Years-long services Customers Private individuals, B2B Tailored Network & Services Network Service Lifecycle Management Service control Largely automated Short & long services Customers Private individuals, Small & medium enterprises SMEs, large multinational org., institutes and govt. 5G Service Lifecycle Management Services Level Agreements, negotiations/renegotiations Service control Core Network Radio Access Virtualization Partition Core & Radio Isolation Core Network Radio Access Devices Actuation & Monitoring Billions of devices Different nature Devices Actuation & Monitoring Telco Service lifecycle management function Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 11 5G Service lifecycle management function
12 EXAMPLE R. Inam, A. Karapantelakis, K. Vandikas, L. Mokrushin, A. Feljan, E. Fersman, Towards automated service-oriented lifecycle management for 5g networks, in 20th IEEE Conference on Emerging Technologies & Factory Automation (ETFA), Sep Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 12
13 Network slicing and virtualization Third Party Vendors Dynamic Bus-Truck Scheduling based On Passenger Demand Dynamic Bus-Truck Routing Platooning Autonomous Driving Ericsson Research Focus Capacity Flow and Management SDK 5G Network Lifecycle Management Function Customers Network Operator(s) Packet and Network Core (virtual, physical assets) Network Core (virtual and physical assets) Legend Radio Access People Smart City People & Vehicles Buses and Trucks Vehicle Actuation and Mobility Data Human Mobility Data Backhaul Network Slice Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 13
14 Information flow in the 5G Network Lifecycle Management The process of network service deployment Capturing customer requirements in an SLA Create a network slice description Deploying the network slice for this SLA R. Inam, A. Karapantelakis, K. Vandikas, L. Mokrushin, A. Feljan, E. Fersman, Towards automated service-oriented lifecycle management for 5g networks, in 20th IEEE Conference on Emerging Technologies & Factory Automation (ETFA), Sep Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 14
15 Summary WHAT TO TAKE AWAY FROM HERE N/W transforming to serve diversity of industry Cross-domain (Telecom+I&S) expertise Partner up with I&S customers/partners Challenges Complexity Isolation Differentiated QoS Automation is the key Network slice for 5G Partition of resources Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 15
16 5G, its Challenges, & how to deal with these challenges Rafia Inam Workshop on Architectural Challenges in Autonomous Systems, Jan 2016 Ericsson 2016 Workshop on Architectural Challenges in Autonomous Systems Jan 2016 Page 16
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