1. 5G Network
management of
Intelligent Transport
Systems
Aneta vulgarakis feljan
Ericsson Research

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Agenda
THE WHY
THE WHAT
THE HOW
EXAMPLES
CONCLUSIONS

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Agenda
THE WHY

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Industry transformation
Transformed
IndustriesTraditional Industries
Devices Applications
Operators & Network
Digitalize & Mobilize

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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

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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

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MWC’2015

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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

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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

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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

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Agenda
THE WHAT

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– 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

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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

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Agenda
THE HOW

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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

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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

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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

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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.

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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

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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)

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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)

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Agenda
EXAMPLES

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CONCEPTUAL user interface –
ORDERING A SERVICE

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MWC’2015

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› 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

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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

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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

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Agenda
CONCLUSIONS

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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

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Questions?

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