Network Slicing for verticals and private networks

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1 Network Slicing for verticals and private networks Cinzia Sartori Nokia Bell Labs IEEE VTC Spring 2018, Porto, June 4 th 1 IEEE VTC Spring 2018, Porto, June 4 th Network Slicing for verticals and private networks Public

2 Running multiple logical networks on a common physical infrastructure E2E network slicing -across radio, transport, core, edge and central clouds Cloud scalability, efficiency and automation Autonomous driving Health Low cost Short range Best effort Low data rates Static Battery life critical High Latency Flexibility to meet diverse requirement Not price critical Wide range High QoS Highest data rates Mobile Power not critical Low Latency Self service Automotive Health Utility 2 SmartMeter Use case-specific slices enable B2B2X business models

3 Network slicing (and automation) are fundamental to the value of Future X Network slicing : E2E (new) value proposition requiring radical transformation and driving new economics 3

4 Diverse and demanding requirements call for network slicing Automotive Manufacturing Seaports Airports Mining Agriculture Utilities Smart Cities Healthcare Application Category Critical automation Tele-operation Highly interactive AR Use-Case Examples Collaborative robots/vehicles Electrical grid teleprotection Video-based remote control Video w/haptic remote cntrl Co-present Mixed Reality 360 volumetric video AR/MR Throughput (bps) Latency (RTT) UL DL E2E Appl. Network 1-10M 1M 5-50 ms 1-5 ms 1-10M 1M 1-100M 5-100M Delivered by Network Slice ms ms 1-25 ms Reliability High/Very High High/Very High Cost Sensitivity Low Medium 1-10 ms Medium Medium Mass sensor arrays Agricultural field sensors Smart city sensors & meters 1k - 1M 1k - 1M 1-2 s ms Medium-Low Very High Slice Performance Low High 4

5 GSA White Paper for Vertical Industries Network Slicing as a key technology enabling flexibility and faster TTM 5

6 Fully automated network slicing across RAN, core and transport Most economic way to meet the highly diverse customer needs From any network to my dedicated network Automated and AI enhanced FlowOne Service Orchestrator CloudBand Cloud native Anyhaul Instead of 10 slices on same infra 1000s Time to market Manually sliced Single- & Zero-touch Minutes Multi-touch Optimal resource utilization any time 6

7 Network & Service Automation are key to 5G TCO 30% savings TCO +30% Manual Network Slices Static & limited scale +19% 4K,VR Traditional CSP Network NFV & SDN Virtualized Network Automated Slices Dynamic & large scale Physical Network Automation is key to drive TCOdown Zero-Touch Network and Service Automation Without E2E automation NFV/SDN & network slicing add significant cost and complexity 4K,VR Service Diversity -32% 7

8 Techno-economic modeling of network slicing Bell Labs Consulting analyzed the costs of implementing and operating network slicing compared to the potential revenue that could be generated Three network deployment scenarios were considered for the techno-economic modeling 8

9 Different control levels can be exposed to customers Option 1 Monitoring Option 2 Limited Control Option 3 Full Control Access via dashboard-like web service (GUI) provided by the MNO Service can be chosen from existing templates MNO deploys and operates service KPI monitoring available to 3rd party No direct control over deployed network services and functions 3rd party performs basic composition of service KPI monitoring available to 3rd party Service deployment and operation performed by MNO MANO stack and NMS operated by MNO Resources are exposed to 3rd party according to IaaS model 3rd party has tight control over deployed network functions and services 3rd party operates own MANO stack and NMS High level of customization Reconciliation with other deployed services through interfaces provided by CSP 9

10 Speed of innovation with the wider ecosystem 5G smart sea port Real-time video 5G V2X connectivity Automated driving HD maps Infotainment 5G industrial automation Ultra-reliable, low-latency connectivity Traffic lights management, data processing from mobile sensors and virtual reality Different automotive and public safety slices running over the same network Coupling advanced interactive robots with wireless perimeter intrusion detection 10

11 Hamburg Port: first 5G network slicing trial in large industrial environment Trial Challenges by Mio containers/year Several 10K trucks/day 5G Smart Sea Port 8000 Hectare AR Focus on 3 use cases with immediate results Operations support at watergates or construction sites Improved harbor operations, experience and security Self driving/flying vehicles (public, private, enterprise) Mgmt. Traffic light management: 5G slicing to connect to mgmt. Better traffic flow 100,000+ sensors Mobile sensors Improved pollution control Nokia AirScale radio access and cloud packet core Slice-aware scheduler & core network to enable slices Life cycle management for network slices 5MHz FDD Carrier at 713/768, i.e., UL@ / DL@

12 Zero touch Network Slicing to create new digital business models PoC V2X Connectivity Automated driving HD maps Infotainment End-to-end service orchestration and assurance FlowOne CloudBand Clouds Public Safety Video Surveillance V2X apps Edge HD maps local Core BMW Infotainment BMW HD maps Cameras at public site Edge PS emergency apps Core Multi-Source Artificial Intelligence PS Video Surveillance Public Safety Emergency event Artificial Intelligence Agent: Network Analytics Emergency team 12

13 Enabling industry 4.0: Resilient, secure low-latency network slices Bosch presentation in Brooklyn 5G Summit April

14 Summary Drones Hotspots Home Healthcare Hotspots Truck platooning In-vehicle infotainment 8K video streaming VR/AR Structural 5G deployment area 5G use case Industry Events Slicing will be a key enabler of 5G and the ongoing 4 th industrial revolution Cloud native architecture delivers the mandatory modularity and elasticity One-touch /zero touch automation minimizes TCO and time-to service Fast adoption of NaaS models is the winning business plan 14

15 Public

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