The Vault

MWC19: 5G Edge – Mission Critical Automation Demonstration

View the slides from our demonstration of 5G Edge Mission Critical Automation from MWC19!

© 2018 InterDigital, Inc. All Rights Reserved.© 2019 InterDigital, Inc. All Rights Reserved. Edge Computing 5G Enabling Technology Edge Computing © 2019 InterDigital, Inc. All Rights Reserved.2 High Quality Video Delivery Industrial IoT Real Time Analytics Bulk Device Maintenance & Upgrades Autonomous & Assisted Driving AR/VR Mixed Reality Immersive / Interactive Gaming Mission Critical Automation & Real-time Control 5G promises ultra-broadband connectivity and extremely low latency. To achieve this you simply need applications closer to the users and devices. And, running in micro-service based, multi-tier, multi-domain, open environments... Distant Cloud 3rd Party ProviderEdge Cloud Extreme Edge Fog Macro Cell Telco Data Center Small Cell Network Edge Pool Edge Pool Wi-Fi Network Vehicle Edge Personal Edge Fog Fog Vehicle Edge Extreme Edge FogEdge Cloud Core Network Public Cloud Telco Data Center Edge Computing – a 5G Enabler 3 Core Network © 2019 InterDigital, Inc. All Rights Reserved. CDN • Edge Computing embeds application resources in network equipment and devices that are closer to the end-user • Key benefits to 5G networks • Decentralization – proximity, offloading, local resources • Opening the value chain for more stakeholders • Maximizing utilization across the network • Optimizing interworking across access networks • Cooperative on-demand networking and computing • Lower deployment cost and time Private Cloud Telco Network Edge APP User Cloud APP Telco Network Edge APP Distribution / Proximity - The Cloud, Edge and Fog 4 User Cloud APP Edge Cloud FogProximity Distribution Backend Centric Telco Centric User / Device Centric Distant Cloud © 2019 InterDigital, Inc. All Rights Reserved. Telco Network Fog APP User Cloud APP Fog APP Fog APP The Fog at the Extreme Network Edge …Very Near to Devices 5 © 2019 InterDigital, Inc. All Rights Reserved. • Fog extends from the Telco Edge to the Extreme Network Edge - closer to and even including terminal devices • Fog Node examples at the Extreme Edge: smart phones, vehicles (autos, trains, planes), robots, drones, set-top-boxes, home/enterprise gateways, TV units, cameras, VR/AR units, access points, wearables, etc. • Unique attributes of Fog Nodes set the stage for new thinking • Volatile: appear/disappear intermittently • Mobile: on the move, attaching across multi-RATs and access providers • Constrained: limited capability (computing, storage, networking) • Heterogeneous: different features, interfaces, and services • Multi-Domain: belong to and managed by different owners (not exclusively telco operators) 5G Edge – Mission Critical Automation Demo Network Location ProcessPhysical Location Logical Zonal Logical Domain Environment MEEP Scenario Net. Domain1 Net. Domain2 ... ... Zone Zone1 Zone Zone2 Phy. Location UE3 ... Zone Core Phy. Location UE4 UE App1 MEC App1 – Edge ... Phy. Location Edge Node Phy. Location DC DC App1 DC App2 ... ... Internet Distant Cloud Phy. Location Edge Node ... Net. Location POA1 Net. Location POA2 Net. Location Net. Location POA1 ... Phy. Location UE2 Net. Location MEC Service – Example ... Phy. Location Fog Node MEC Service – Location MEC Service – RNI MEC App2 – Fog ... MEC App1 – Fog MEC Service – Example... ... ... Phy. Location UE1 UE App1 UE App2 ... 6 © 2019 InterDigital, Inc. All Rights Reserved. InterDigital AdvantEDGE™ Mobile Edge Emulation Platform • Agile experimentation and validation environment for Edge applications and services • Ideal platform for use by Edge application developers, system architects, and researchers InterDigital UTM System UAV (Drone) Traffic Management (UTM) deployed in AdvantEDGE™ • A drone revolution has begun, and 5G Edge technology enables safer, untethered, autonomous operation • Edge Computing with 5G wireless is an ideal solution for mission critical applications, such as UTM and collision avoidance • Context Information • Network Optimization Networking, computing,storage capabilities shift Cloud, Central DC • Virtualized RAN functions • Multi-RAT coordination • Low latency applications • Analytics and data services • Terminal as a Fog node • Edge/Fog integration and federation • Distributed services • Interaction with Cloud Computing FoggNB/eNB User Device Fog AP Fog Integrated Edge/Fog 7 © 2019 InterDigital, Inc. All Rights Reserved. Mission: To develop the framework for an integrated, virtualized Edge/Fog solution and demonstrate its value proposition for various use cases: AR, VR, fog-assisted robotics, connected cars, IoT 5G-CORAL – Mission and Vision An integrated, virtualized solution deep into the RAN offering distributed data services for application verticals. 8 © 2019 InterDigital, Inc. All Rights Reserved. 360 Camera 360 Camera Control Plane User Plane Point of Attachment Video Streaming Orientation Service Function Deployment Fog Nodes Edge Server Datacentre • Orientation Service • DASH Client • Encoding/ Decoding • Composition • Segmentation • RTMP acquisition • Tile Encoding • DASH segmentation Client 1 Client 2 Orchestration and Control SDN TransportPoint of Attachment 5G-CORAL – Live 360⁰ Immersive Media Demo Demonstrating: The concept of micro-services based design in a multi-tier computing model of Fog/Edge nodes integrated through a unified orchestration and control system. • E2E 360 video streaming across three tiers of computing nodes (Low, medium and high ends) all under unified orchestration and control. • Two 360 degrees cameras, each capturing a separate event happening in a different area of the interest. • Two terminal types for two kinds of experience, a smartphone and oculus rift goggles. • Automated deployment of the E2E video streaming service. • 360⁰ video streaming from either camera location, at a fraction of the bandwidth. 9 © 2019 InterDigital, Inc. All Rights Reserved. 5G-CORAL – Taiwan Trial (02/November/2018) Nangang Global mall, Taipei • Live 360⁰ Immersive Media • E2E 360⁰ video streaming across three tiers of computing nodes (low, medium and high ends) • Fog Assisted Robotics • Synchronised delivery • Cleaning service • IoT Multi-RAT Gateway • IEEE 802.15.4 • NB-IoT • Augmented Reality • Live navigation in the shopping mall Putting Edge and 5G Together Via Open / Global Standards ETSI White Paper: MEC in 5G networks 10 © 2019 InterDigital, Inc. All Rights Reserved. NRF PCF NEF AMF LDN MEC SYSTEM LEVEL ENTITY (MEPM, ORCH) MEC HOSTSMF UPFUE RAN Control Information Control Panel ME Apps ME Service (e.g. RNIS) Traffic Rules Control Plane: • Edge appears as an Application Function (AF) to the 3GPP 5G system • Network Exposure Function (NEF) provides the standard interface point in the control plane Data Plane: • User Plane Function (UPF) directs traffic towards Edge / Fog Nodes in the local data networkUser Plane 5G Edge – Mission Critical Automation Demonstration • Autonomous Drones: Edge-enabled Collaborative Collision Detection and Avoidance (DAA) • Showcased via InterDigital’s AdvantEDGE™, Mobile Edge Emulation Platform © 2019 InterDigital, Inc. All Rights Reserved. © 2019 InterDigital, Inc. All Rights Reserved.12 5G Edge – Mission Critical Automation Demo InterDigital AdvantEDGE™ Mobile Edge Emulation Platform • Agile experimentation and validation environment for Edge applications and services • Ideal platform for use by Edge application developers, system architects, and researchers InterDigital UTM System UAV (Drone) Traffic Management (UTM) Deployed in AdvantEDGE • A drone revolution has begun, and 5G Edge technology enables safer, untethered, autonomous operation • Edge Computing with 5G Wireless is an ideal solution for mission critical applications, such as UTM and collision avoidance Network Location ProcessPhysical Location Logical Zonal Logical Domain Environment MEEP Scenario Net. Domain1 Net. Domain2 ... ... Zone Zone1 Zone Zone2 Phy. Location UE3 ... Zone Core Phy. Location UE4 UE App1 MEC App1 – Edge ... Phy. Location Edge Node Phy. Location DC DC App1 DC App2 ... ... Internet Distant Cloud Phy. Location Edge Node ... Net. Location POA1 Net. Location POA2 Net. Location Net. Location POA1 ... Phy. Location UE2 Net. Location MEC Service – Example ... Phy. Location Fog Node MEC Service – Location MEC Service – RNI MEC App2 – Fog ... MEC App1 – Fog MEC Service – Example... ... ... Phy. Location UE1 UE App1 UE App2 ... The Need for a Mobile Edge Emulation Platform Edge Computing … is a non-trivial extension of Cloud Computing … introduces access to low-latency, local resources … presents unique challenges Multiple Deployment Models • Edge vs Fog – where should an application component be placed? Lack of widely available Edge Infrastructure • Retrofitting cloud infrastructure for the edge is difficult and time-consuming • Early development should focus on discovering edge applications and not on building infrastructure An environment facilitating the rapid development of applications for the Edge © 2019 InterDigital, Inc. All Rights Reserved.13 PROTOTYPING TESTING MAKE YOUR IDEAS TANGIBLE AdvantEDGE, Mobile Edge Emulation Platform • Containerized Environment • Kubernetes (K8) based • Full End-to-End Network • Terminal • Fog • Edge • Distant Cloud • Emulated & External Clients/Applications • Single Host (“Edge in a box”) & Multi-Host Configuration • Scalability: • Small Networks (<=25 nodes) • Large Networks (1000+ nodes) • Scenario Configuration, Dynamic Adaption, Real-time Monitoring, and Logging AdvantEDGE Host Environment Layer • Virtualization (Containers) • Network Topology • Network Emulation (Latency, Throughput, Mobility) Edge Service Layer • MEC Built-in Services (Location, RNIS, etc.) • MEC Platform and Platform Manager Application Layer • Terminal Devices and Apps • Edge Applications and Services • Cloud Apps and Backend Network Location ProcessPhysical Location Logical Zonal Logical Domain Environment MEEP Scenario Net. Domain1 Net. Domain2 ... ... Zone Zone1 Zone Zone2 Phy. Location UE3 ... Zone Core Phy. Location UE4 UE App1 MEC App1 – Edge ... Phy. Location Edge Node Phy. Location DC DC App1 DC App2 ... ... Internet Distant Cloud Phy. Location Edge Node ... Net. Location POA1 Net. Location POA2 Net. Location Net. Location POA1 ... Phy. Location UE2 Net. Location MEC Service – Example ... Phy. Location Fog Node MEC Service – Location MEC Service – RNI MEC App2 – Fog ... MEC App1 – Fog MEC Service – Example... ... ... Phy. Location UE1 UE App1 UE App2 ... Agile Experimentation and Validation Environment for Edge Applications and Services AdvantEDGE Controller • Control and Orchestration • Lifecycle • Mobility • Network Configuration © 2019 InterDigital, Inc. All Rights Reserved.14 AdvantEDGE – Edge Network Scenario Model Layered model captures end-to-end network elements, from network domains down to individual application instances, to provide a complete “edge network” framework. Logical Domain • Defines the number and type of domains within a scenario • For example: Internet / distant cloud, mobile operator domains, etc. Logical Zonal • A domain can be decomposed into zones with a relative distance (i.e. latency) between zones • Each zone can be composed of varying sets of network and physical locations Network Location • Defines locations within a zone, where nodes may be connected • Example: Points of Attachment Physical Location • Each node within a network occupies a physical location • Defines number & type of nodes: UE, Fog, Edge, Data Center, etc. • Support for internal vs. external nodes Process • Finest abstraction level • Individual deployment of an application or service instance at a container level Network Behavior • Network characteristics (latency, throughput, packet loss, etc.) programmable at several levels within a scenario • For example: terminal link, fog/edge, inter-edge, inter-zone, inter-domain, etc. Network Location ProcessPhysical Location Logical Zonal Logical Domain Environment MEEP Scenario Net. Domain1 Net. Domain2 ... ... Zone Zone1 Zone Zone2 Phy. Location UE3 ... Zone Core Phy. Location UE4 UE App1 MEC App1 – Edge ... Phy. Location Edge Node Phy. Location DC DC App1 DC App2 ... ... Internet Distant Cloud Phy. Location Edge Node ... Net. Location POA1 Net. Location POA2 Net. Location Net. Location POA1 ... Phy. Location UE2 Net. Location MEC Service – Example ... Phy. Location Fog Node MEC Service – Location MEC Service – RNI MEC App2 – Fog ... MEC App1 – Fog MEC Service – Example... ... ... Phy. Location UE1 UE App1 UE App2 ... © 2019 InterDigital, Inc. All Rights Reserved.15 Unmanned Aerial System (UAS) – Traffic Management (UTM) Regulators, industry and standards groups working on defining UAS Traffic Management • UTM: Interoperability Framework to enable safe integration of drones in the national airspace, supporting Beyond Visual Line of Sight (BVLOS) operation • Today, UTM primarily focuses on defining strategic operation, planning and approving before flights happen • In-flight – Tactical UTM assistance is required for safe and efficient BVLOS operation UTM Aerial Communication National Airspace System (NAS) • Air Traffic Mgmt. (ATM) systems • ATM data sources • FIMS • Etc. External Stakeholders • Authorities • Public safety • General public Supplemental Services • Manned aircraft position • Obstacles • Spatial data • Surveillance • Weather UAS Traffic Management (UTM) • UAS Service Supplier (USS) Unmanned Aerial Systems (UAS) • UAV • UAS Operator • UAV Pilots © 2019 InterDigital, Inc. All Rights Reserved.16 Path / Trajectory M odification M ission A dherence Detection/Reporting 12Non Cooperative4 • Individual actions when minimum separation is compromised UTM: Strategic vs. Tactical Operation (Edge-UTM) N on C o-operative Individual O peration Strategic Management • Airspace management • Demand/ capacity balancing • Path conformance Separation Provision • Detecting off-route/conflicts • Updating trajectory/routes Cooperative Detect & Avoid3 • Coordination and resolution advisory • D2D and Edge-UTM time to collision 4 Tactical Operation –Detect & Avoid (DAA) & Airspace Separation with UTM Assistance Strategic Operation – Core UTM Edge-UTM potential scope 3 2 1 C onflict /C ollison Resolution C onflict C oordination Hazard Tracking A ctive & Background Surveillance Just-in-tim e A irspace A llocation A irspace Planning Registration and Service Pub/Sub © 2019 InterDigital, Inc. All Rights Reserved.17 InterDigital UTM System Core-UTM Backend: • Strategic mission planning, approval, and monitoring Edge-UTM: • Collaborative fusion of sensor information among UAS and ground sensors in a local area, at the network edge • Edge-DAA function detects collisions in the local airspace and issues real-time “group” resolution advisories to affected UAS Research Partners: © 2019 InterDigital, Inc. All Rights Reserved.18 Internet 5G Core Network UTM Frontend Client 5G RAN Edge-UTM (MEC) UAS USS Core UTM Backend UTM-D1 Non-Cooperative Drone UTM-D2 Edge-DAA Edge-DAA UTM via AdvantEDGE… • Core UTM & Edge-DAA service deployed to Cloud and Edge respectively on AdvantEDGE • Set of drones operating in an urban environment, with obstructed views due to buildings and other obstacles • Drones shares telemetry information with an Edge-DAA service instance responsible for a local airspace within a neighborhood • Edge-DAA issues group resolution advisories to drones with “closest point of approach” violating the drone’s protected airspace volume • AdvantEDGE triggers handover between wireless attachment points in the network and facilities application state migration across Edge-DAA instances, due to terminal mobility © 2019 InterDigital, Inc. All Rights Reserved.19 A dv an tE DG E Pl at fo rm Real-tim e KPIs Edge-UTM , DA ADrone Emulation