5GHEART.ORG

5G HEALTH AQUACULTURE AND TRANSPORT VALIDATION TRIALS

IEEE 5G CAM 2021

11 May 2021

Dr. Haesik Kim-Vice-chair of 5G PPP SB-Coordinator of 5G-HEART-Sr. scientist and project manager of VTT-Series editor of IEEE Comm Mag

INTRODUCTION TO5G-HEARTTRANSPORTVERTICAL TRIALS

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• Overview of 5G-HEART• 5G-HEART Transportation Vertical Trials• Conclusion

2

Agenda

Overview of 5G-HEART

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• Project call: ICT-19-2019: Advanced 5G validation trialsacross multiple vertical industries

• Project number: 5G-HEART (Grant agreement no. 857034)• Action type: RIA• The consortium budget : 14.3 MEur from EC• Project duration: 42 months (June 2019 – Nov 2022)• Project team: 22 partners• Project website: 5gheart.org

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Introduction to 5G-HEART

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5G-HEART partners

Partner Type Partner From

Research

VTT FIMarineInstitute

IE

OUS NOTNO NLUOS UK

NTUA ELCEA FR

LE

Telenor NOIntracom EL

OTE ELEricsson ELPhilips NLDynniq NLPolar FI

SME

Skironis ELSEALAB NOWINGS EL

RedZinc IEACTA EL

Epitomical UKOther OCC UK

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• The overall objective of the 5G-HEART is to define andvalidate the cost efficient 5G converged networkconcepts, which enable an intelligent hub supported bymultiple vertical industries.

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Objectives to 5G-HEART

”Define and validate the cost efficient 5G converged network concepts, which enable an intelligent hub supported by multiple vertical industries.”

Objective 6:Exploitation ofProject Results

(WP7)Project

Consortium

ExternalAdvisory Board

Definitio

n

Objective 1:Use Cases(WP3-5)

Objective 2:Technologies

(WP2-5)

Objective 3:BusinessModels(WP7)

Implem

entatio

n

Objective 5:Trials and

Showcases(WP6)

Objective 4:Test Facilities(WP2, WP6)

Valid

ation

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5G-HEART Ecosystem

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5G-HEART facilities

Pilot site Oslo-Kongsberg-Trondheim,

NO

Surrey, UK Athens, GR Oulu, FI Groningen, NL

Verticals HealthcareAquaculture

TransportHealthcare

Aquaculture HealthcareTransport

HealthcareTransport

Test facility ICT-175G-VINNI

ICT-175Genesis

ICT-175G-EVE

National5GTN

National5Groningen

5G-HEART usecases

H1, H2, H3, A1 T1, T2, T3, T4,H3

A1 H1, T2 H1, T2

Use casecategories

eMBBURLLCmMTC

eMBBURLLC¨mMTC

eMBBURLLCmMTC

eMBBURLLC

eMBBURLLC

Involvedpartners

Telenor UOS OTEEricssonWINGS

VTT TNO

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Healthcare verticalUse case H1: Remote interventional supportThe use of advanced, rich media communications in the context ofremote monitoring, education and robotics in patient diagnostics andtreatment.H1A: Educational surgery, H1B: Remote Ultrasound examination,H1C: Paramedic support, H1D: Critical health eventLocations: Norway, Finland, Netherlands

Use case H2: The PillcamColon capsule may be an alternative to colonoscopy, for early detectionof Colon cancer with high mortality.Location: Norway

Use case H3: Vital-sign patches with advanced geo-locationDirect-to-Cloud, disposable, vital-sign patches to enable continuousmonitoring of ambulatory patients, anytime and anywhereLocations: France, Norway

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Transport verticalUse case T1: PlatooningT1S1&T1S2: High Bandwidth in-vehicle Virtual Reality (VR) Streaming or See-through for Platooning.T1S3 - Dynamic Channel Management for Traffic ProgressionLocation: UKUse case T2: Autonomous Assisted drivingT2S1 - Network Assisted Collision Warning & Cooperative Collision Avoidance (CoCA)T2S2 - Smart Junctions, T2S3 - QoS for Advanced DrivingLocation: UK, Netherlands, FinlandUse case T3: Support for Remote drivingT3S1 – Tele-operated Support (TeSo)Location: UKUse case T4: Vehicle Data ServicesT4S1 - Vehicle Prognostics, T4S2 – OTA (over-the-air) Updates , T4S3 - Smart Traffic CorridorsT4S4 - Location Based Advertising, T4S5 - End to End (E2E) Slicing, T4S6 - Vehicle Sourced HD Mapping, T4S7 -Environmental ServicesLocation: UK

VTT 5G Automated Driving: https://youtu.be/QZI7RRs5QCk

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Aquaculture verticalUse case A1: Aquaculture monitoring and managmentDevelopment of autonomous data acquisition and communication systems foradvanced aquaculture managementCovering off-shore production systems efficientlyLocation: Greece and Norway (https://bluethink-go-demo.sealab.no/)

Site Technology Setup

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Timeline of vertical trials

6 Months ExtensionMay 2021

5G-HEART TransportationVertical Trials

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Transport use cases: T1 Platooning

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Transport use cases: T2autonomous/assisted driving

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Transport use cases: T3 support forremote driving

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Transport use cases: T4 Vehicle dataservices

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• As one of ICT-19 projects, 5G-HEART was introduced.Various 5G transport vertical trials have been explained.

• The interim results will be released in the project website(5gheart.org) in a couple of months.

Conclusion and interim results

5GHEART.ORG

THANK YOUFOR YOUR ATTENTION

This project received funding from the European Union’s Horizon2020 researchand innovation programme under grant agreement No 857034

Backup slides: 5G-HEARTTransportation Vertical Trials

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• This scenario involves supportfor high bandwidth in-vehiclevideo streaming serving virtual/ augmented reality (VR/AR)applications of see-through forplatooning scenarios.

T1S1&S2 High bandwidth in-vehicle VR streaming or See-throughfor platooning

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• This scenario proposes to optimize theassignment of radio channels to thevehicle-to-infrastructure (V2I) andvehicle-to-vehicle (V2V) links used bythe platoons operating in a givenarea. A centralised architecture isconsidered, where a V2X applicationanalyses the speed, location anddestination of the platoons beforeassigning the best radio channels toeach of them.

T1S3 Dynamic channel management for traffic progression

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• A high percentage of all trafficaccidents occur at intersections,where there is a high density ofvehicles and vulnerable road users(e.g. cyclists and pedestrians).

• The “Intersection Safety InformationProvisioning” scenario as describedwithin 3GPP (i.e. Smart Junctions)provides network assisted safetyinformation towards vehicles toprevent traffic accidents and assistcooperative automated drivingfunctions when the vehicles passthrough an intersection.

T2S1&T2S2 Smart Junctions and Network assisted & CooperativeCollision Avoidance (CoCa)

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• This scenario is focused onthe provisioning of QoS forAdvanced Driving. Thisinvolves the dynamicselection of the appropriatedriving mode based on thecontext at-hand.

• The driving mode is mainlyreflected by the level ofautomation (LoA), whichreflects the functionalaspects of the technologyand affects the systemperformance requirements.

T2S3 QoS for advanced driving

[Source] Car-2-Car Communication Consortium. (2015). https://www.car-2-car.org/

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• This scenario focuses on awearables-based Humantachograph, which provides adirect measurement/assessmentmethod and technology to assessthe driver’s physiological status.

T2S4 Human tachograph

Service Cloud

MEC

5GC

5G UE/GW

NG-RAN

WearableSensors

eMBMS

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• Remote driving is a conceptin which a vehicle iscontrolled remotely byeither a human operator ora Cloud computingsoftware.

• While autonomous drivingneeds a lot of sensors andsophisticated algorithms,remote driving with humanoperators can be realizedusing less of them.

T3S1 Tele-operated Support (TeSo)

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• A road side unit (RSU) application, having the capability to access the Internet willenable any passing vehicle to report its current functional state to a local/remotediagnosis service and to receive “Just in time repair notification”.

• A Vehicle Service application linked to local Repair Centres needs to obtain andanalyse data from the vehicle periodically. Based on the analysis result, it will notify tothe vehicle owner showing what's going on with the vehicle

T4S1 Vehicle prognostics

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• Engine Control Unit (ECU) is a generic term for a hardware module withcorresponding software in a car that controls some electronic functionswithin the vehicle system. This could be anything from the steering wheel tothe brakes and with automated driving this becomes a key part of thevehicle that will possibly need regular software updates.

• Over-the-air updates can provide significant cost-savings, as the vehicleswill not need to be recalled by a manufacturer or service centre.

T4S2 Over-The-Air (OTA) updates

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• This scenario looks at howhistorical and real-time data fromvehicles can be used tointelligently control the routes thata vehicle is recommended ormandated to take in any givenjourney.

T4S3 Smart traffic corridors

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• With vehicle and passengerinformation readily available,location-based servers can beimplemented to stream content(upon request, if required) as well aslocal advertising or traffic guidanceto vehicles and road users.

• This becomes especially useful incar-sharing models where vehiclesare not owned and the origin anddestination of each journey mayvary depending on the passengers.

T4S4 Location based advertising

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• Virtual links between vehicles,infrastructure and remote servicescan be beneficial in enablingdiffering Quality of Service (QoS)per application.

• For example, certain vehicle datamay be critical to vehicleoperation and safety. E2E Slicingallows a single link to besegregated and QoS parametersbe applied, controlling parameterssuch as bandwidth and latencybased on the individual service orapplication.

T4S5 End to end (E2E) Slicing

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• Autonomous vehicles do not onlyrequire on-board sensors toperceive the world around them,but also high-definition maps toaid their decision making. HDmaps of roads and infrastructurewill take years to capture andconsolidate. There is the addedissue of dynamic changes to thesemaps over time.

T4S6 Vehicle sourced HD mapping

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• Local, Regional and Nationalweather offices source theirdata through satellite earthobservation maps and localweather stations. These aregenerally used for weatherforecasts.

• Vehicles may provide a richand real time source ofweather and environmentalinformation through existingon-board sensors.

T4S7 Environmental services