5G Network Managament for Inteligent Transport Systems

5G Network management of Intelligent Transport Systems

Aneta vulgarakis feljanEricsson Research

© Ericsson 2015 | ADCOM 2015 | Page 2

Agenda

THE WHY

THE WHAT

THE HOW

EXAMPLES

CONCLUSIONS


Agenda

THE WHY


Industry transformation

Transformed IndustriesTraditional Industries

Devices Applications

Operators & Network

Digitalize & Mobilize


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


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


MWC’2015


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


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


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


Agenda

THE WHAT


– 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


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


Agenda

THE HOW


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


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


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


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.


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


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)


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)


Agenda

EXAMPLES


CONCEPTUAL user interface –ORDERING A SERVICE


MWC’2015


› 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


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


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


Agenda

CONCLUSIONS


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


Questions?


Documents

5G Network Managament for Inteligent Transport Systems