5g network managament for inteligent transport systems
TRANSCRIPT
© Ericsson 2015 | ADCOM 2015 | Page 4
Industry transformation
Transformed IndustriesTraditional Industries
Devices Applications
Operators & Network
Digitalize & Mobilize
© Ericsson 2015 | ADCOM 2015 | Page 5
Future NETWORKED SOCIETY
Boom of OTT applications/services
Efficient Industries and Society
Text
Global Standards
Mobile Media Delivery
Massive M2M Communications
EnergyEfficiency
Critical Machine Type Communications
© Ericsson 2015 | ADCOM 2015 | Page 6
One network – 5Gmultiple industries – Diverse Usecases
@
A common network platform
10-100XEnd-user Data Rates
5XLower Latency
10-100XConnected Devices
10XBattery Life
1000XMobile Data
Volumes
Access Core Cloud
© Ericsson 2015 | ADCOM 2015 | Page 8
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.
AUTOMATIONSYSTEMIC 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 VALUESRELEVANT NETWORKS
Decision support
© Ericsson 2015 | ADCOM 2015 | Page 9
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 configuringNO admin
© Ericsson 2015 | ADCOM 2015 | Page 10
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 UtilityCompany
Smart Meters
User
Mix of criticality & changes in mobile n/wsPrioritised data streams
© Ericsson 2015 | ADCOM 2015 | Page 12
– 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
© Ericsson 2015 | ADCOM 2015 | Page 13
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 feedsAnalytics
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
Pe
op
le
/Go
od
s L
og
istic
s
Pl
ato
on
ing
via
In
fr
as
tr
uc
tu
re
ConnectivityNetworks Core NW
RANCapillaryNetwork events
UC 1 UC 2 … UC N
AB
STR
AC
TIO
N A
ND
SE
MA
NTIC
S
CO
NTR
OL A
ND
AC
TU
ATIO
N
IoT Services
© Ericsson 2015 | ADCOM 2015 | Page 15
A paradigm shift in mobile network implementation
CustomersPrivate individuals, B2B
CustomersPrivate 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
CustomersPrivate individuals, Small & medium
enterprises SMEs, large multinational org., institutes and govt.
CustomersPrivate 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
VirtualizationPartition Core & Radio
Isolation
Billions of devicesDifferent nature
(vehicles, smartphones, etc)
Largely automated Short & long
services
5G Service lifecycle management function
Specific devices
© Ericsson 2015 | ADCOM 2015 | Page 16
Customer Service OfferingsNetwork Slice Blueprints /Network service templates
Customer Service OfferingsNetwork 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
NomadicBroadband
Wire-lineInternet access
IndustryAutomation
EnterpriseCommunication
MassiveSensors/Actuator
Health Care
…...
……
…...
……
Physical Resources(Access, Connectivity, Computing, Storage, ..)
LogicalNetworksNetwork Service
Orchestration
Service n
Health
Robotic communication
Media
Mobile Broadband
Network SliceComposition
5G –Service creation using network slices
© Ericsson 2015 | ADCOM 2015 | Page 17
Network Slice
GENERIC USE CASE
I want service A
1
3Would you mind service A*?
4 Ok!6 Actuation
N Current status of the world
RAN
GUI
Intelligence
Knowledge Base
ModelsAnalytics (numbers)Analysis (models)AI techniques
2
Analysis / Planning8
Resource Decommissioning
NetworkCORE
© Ericsson 2015 | ADCOM 2015 | Page 18
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.
© Ericsson 2015 | ADCOM 2015 | Page 19
User Interface Layer
Service Description Creation Costumer ServiceDeployment
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 chosenservice to user
5G Service Lifecycle Management Layer
Servicerequirements
Store new SLA
Remove SLA
Orchestration and Control Layer Cloudify
Cloudify APIUnistall 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 APIDeploy and Install Deployment
Celopmeter Data pushed to ELK(Elastic Search, Logstash and Kibana)
OpenStack API
© Ericsson 2015 | ADCOM 2015 | Page 20
KMAF
Actuation
Data/Event Feeds
Upper Ontology
Common Sense
delivering trains
navigation
trailer
containers
logistics
Actions
Pre
sen
tatio
n
Kn
ow
led
ge
Ass
ets
Inference
Simulation
Verification
What-if Analysis
Property Check
Domain Expert
Technologies behind the scenes -KMAF
Knowledge Acquisition
Module
Kn
ow
led
ge
User
Missio
n/G
oa
l
(Approver)
© Ericsson 2015 | ADCOM 2015 | Page 21
Technologies behind the scenes – DYNAMIC PLANNING
Model of the
real world
REAL WORLD
PLANNER
EXECUTOR AND MONITOR
Modeling
Sensing
Actuation
Behavioral
ReactivePlanning
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)
© Ericsson 2015 | ADCOM 2015 | Page 25
› 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
© Ericsson 2015 | ADCOM 2015 | Page 26
CITY TRANSPORT USE CASE
Connected Traffic Cloud
ConnectedVehicle Cloud
Traffic Authority
Reaching out to vehicles and road users
TRAFFIC MANAGEMENT
Optimize routes based on available data (inc. Network data)
Intelligent Management
© Ericsson 2015 | ADCOM 2015 | Page 27
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
NetworkOperator(s)Packet and NetworkCore (virtual, physicalassets)
Ericsson Research Focus
Third PartyVendors
Dynamic Bus-TruckScheduling basedOn Passenger Demand
Dynamic Bus-TruckRouting
Platooning AutonomousDriving …
Backhaul
NetworkSlice
Customers
© Ericsson 2015 | ADCOM 2015 | Page 29
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