5G Enablers and Use Cases, an European Pespective

1. xuan-thuy.dang@dai-labor.de
5G Enablers and Use Cases
An European Perspective
VietOpenStack Meetup - Hanoi - November 24, 2018
Xuan-Thuy Dang

2. 2
Agenda
OpenStack UG Meetup - Hanoi - November 24, 2018
Introduction
5G - Cloud
Autonomous Driving
Cloud Manufacturing
Why Communities Matter

3. Futureeveryone has an idea of the
Smart Transportation, Healthcare,
Green, Education, Entertainment, ...
5G – Cloud – IR 4 the enablers everyone is talking about
we are VietOpenStackers...
... we enable clouds...
→ we solve future problems, who else?
Can we enable 5G too?

4. “We do not believe that we
should spend the next couple
of years studying what 5G
should be or how it should
operate. The future has a way
of inventing itself !”
Tom Wheeler
Chairman of the U.S. Federal
Communications Commission
On 5G At the National Press Club

5. Enabling Technologies
NFVCDN, EPC, DNS, …
SDNWDM, IP, …
Multi-RA
SlicingMassive IoT
Enhanced mobile
Broadband
Critical Machine Type
Communication
Smart Vehicles,
Transport &
Infrastructure
Services
5

6. 17. November 2018 6
Future Mobile Network Enablers / Building Blocks
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html
5G Mobile Network
Performance
Objectives
Cloud
Computing
User-Centric
Services
IoE SDN
Software Defined
Networking

7. 17. November 2018 7
Expectations …
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html
Network quality, speed, customer experience, innovations
5G Aims at
More data
10 billion device to be connected to
Internet by 2016
M2M
2.3 billion M2M connections in 2020
Cloud
$ 170 billion revenues from cloud services
in 2015
Lower Latency
5x – 10x lower latency
Longer Battery Life
10x longer battery life for lower power
devices
Lower Deployment Costs
programmability / virtualization of the
hardware

8. 8
Open Innovation with Cloud Computing, SDN, NFV
SDN
NFV
Cloud
SDN
NFV
Cloud
Autonomic M&O
Inter-Operability Cloud RAN
vEPC Core
Consolidated,
Programmable RAN
Resources for Increased
Data Rate & Mobility
Dynamic Chaining of Virtual
Network Functions
Multi-stakeholders
Open Infrastructure
End to end Automated
Network Management
And Interoperability
Flexible VNF Providing Scalable
Core and Transport Network
Functions

9. 9
How Telecom Learns from Enterprise – Cloud Drivers
Changes in Economy Flexible Workforce
Multiple Customer Channels
Globally DistributedPartner Ecosystem
Service Oriented
Socially Connected
Flexible, Virtual
Work & Play
Mobility
Multiple Communication Channels
Automated Provisioning
Dynamic Services
DevOps Principles
Cloud Models
End-User
Demand
Technology
Business Model

10. 10
ONF NFV Architecture – Where Is The Cloud?

11. 11
Prototyping of Next Generation Fronthaul Interfaces (NGFI) using OpenAirInterface

12. 12
5G Enabling
EU Project 5G Related
Specification # 22.261 - 3GPP, http://www.3gpp.org/DynaReport/22261.htm
● Multiple access
technologies
● Scalable and
customizable
network
● Advanced KPIs
● Flexibility and
programmability
● Resource
efficiency
● Mobility &
heterogeneous
environment
● Services and
applications with
advanced QoE

13. DAI-Labor / TU Berlin | Sekr. TEL 14 | Ernst-Reuter-Platz 7 | D-10587 Berlin
The Future of Digital Cities & Autonomous Driving
Urban Test Field in Berlin

14. • Establish an urban testing and validation environment for
autonomous electric vehicles in digitized streets/cities
• Showcase the integration of infrastructure for smart cities with digital
vehicles
• Establish an ecosystem of key stakeholders around autonomous
driving and smart cities
• Open, scalable framework for autonomous and connected driving at the
center of Berlin
Objectives
17.11.2018 14

15. 15
Str. 17. Juni, from Brandenburg Gate to Ernst-Reuter-Platz
• 3,65 km, three-lane each direction, with road markings
• Complex traffic situations, rush our traffic, governmental convoys, two large roundabouts
• 11 traffic control systems with group control for vehicles, bicycles, pedestrians and
handicapped, each having a different topology
• Complex parking situations, marked and non-marked, parallel and slanted parking
• Over 1000 parking spaces in total, center island parking (~600 parking slots), separate parking areas
The Test Field - Overview

16. 16
Street lamps and potential sensor carriers
• 338 street lamps altogether, different layouts
• 11 traffic control systems
• Sensors for park space
• Wireless charging infrastructure every 500m. on both sides
• In total 1.000.000 data sources
Special lighting situations
• Charlottenburg Gate – very high historic columns with 8 modern
lamps each
• Berlin Victory Column – large roundabout with historic
candelabra
• Missing lamps at junctions and Soviet memorial
The Test Field - Overview

17. INFRASTRUCTURE
Layered Architecture
Electric Power
Network Access
Lighting
EV Charging
V2X / Road Side Units Traffic Signaling System
Uni-Shuttle Stations Various Sensors

18. 18

19. 19
Traffic
Flow Monitoring
(WiFi & Camera-based)
Traffic
Flow Monitoring
(WiFi & Camera-based)
Traffic & People
Flow Monitoring
(WiFi Heatmap &
Camera-based)
Traffic
Flow Monitoring
(WiFi & Camera-based)
Integrated View of IoT / Sensor Deployment at Ernst-Reuter-Platz
Traffic (Condition)
Sensor
(Camera-based)
Traffic Light
Sensor
Light
Sensor
Gardening
Sensor
Air Pollution
Sensor
Traffic & People
Flow Monitoring
(WiFi & Camera-based)
Parking Management
(Lens-based & EMF Sensor)
Weather Sensor
eMobility Sensor

20. Layered Architecture
17.11.2018 20
APPLICATION EXECUTION ENGINE
DATA ANALYTICS ENGINE
DEVICE & DATA INTEGRATION ENGINE
COMMUNICATION NETWORK & TRAFFIC
VEHICLE
MANAGEMENT SECURITY
INFRASTRUCTURE

21. •Integration and management of complex infrastructure entities
•Middleware for heterogeneous IoT devices
•Collection, harmonization and analytics of large and complex data
•Future-proof local and global communication architecture
•Security of infrastructure, data, and applications
•Common interfaces for applications and services
R&D Challenges
17.11.2018 21

22. 22
The Industrial Revolution

23. 23
Sources of The Industrial Revolution

24. 24
Smart Factory Characteristics and technological enablers
Smart Factories in Industry 4.0: A review of the concept and of Energy Management
Approached in Production Based on the Internet of Things Paradigm
Mass Customization
Flexibility
Factory Visibility and
Optimized Decision Making
New Planning Methods
Creating Values From Big
Data
Creating New Services
Automation and Change Role
of Man - CPS and HCR
Predictive Maintenance
https://www.de.capgeminiconsulting.com/capabilities/industrie-40

25. 25
Industry 4.0
► Definition: Industry 4.0 is a new manufacturing perspective that
uses new technologies and devices that can autonomously
communicate and exchange data with each other.
► Main Characteristics
▪ Interoperability: Integration of all devices and establishing
the communication among them
▪ Virtualization: A virtual copy of smart factory through the
linked devices’ data with the simulation models
▪ Decentralized: CPS devices can take their own decision
▪ Real-time Capability: Capability of collecting and analyzing
data in real-time
▪ Modularity: Flexible adaptation of smart factories to
changing requirements by replacing or expanding modules
► Use Case in Industry 4.0: Smart Factory
▪ it creates an environment, where all factory related
technologies can be integrated and be harmonized together
to realize the future intelligent factories.
Reference: Industry 4.0 environment, Deloutte 2014

26. 26
Smart Factory Scenario – Create Your Own Product
irobot
ROSIoT GW
Factory
Middleware
Bio 3D
Printer
RFI
D
Product list
Logistic
Warehouse

27. 27
Smart Factory Scenario / Warehousing
IoT GW
IoT
Middleware
IoT GW

28. Required Devices
28
• Temperature & Other Sensors
• RFID Reader
• Conveyer belt (simulation or real)
• 3D Printer, 3D Camera
• Container Box (sensor equipped)
• AR Glasses
• Wearables
• HRC on packaging (with simulated and/or real robot)
• X (Temperature, CO2, Air pollution) Sensors
• RFID Readers for Delivery Truck
• Carrier robots (simulation) (ROS)
• Charging Stations
• AR Glasses
• Wearables
Production Warehousing

29. 29
► Production Process Planning and Monitoring (PPPM) App
▪ Production Scheduling/Planning
▪ Process Monitoring and Control
▪ Warehouse Management
► Monitoring, Maintenance and Management (MMM) App
▪ Device Management
▪ Predictive Maintenance
▪ Service Management (Service Monitoring Tool)
▪ Energy Management
▪ Simulation Tool
► Wearable apps
▪ Task/Job Delivery & Control App
► Augmented Reality applications
▪ Guidance for device repair/replacement and warehousing (?)
Smart Factory Scenario / Applications

30. 30
CHARIOT Project - Components and their Interactions
Service Planning &
Orchestration
CHARIOT API &
Service Development Tools Semantic Services
Learning
Framework
Device Abstraction / Runtime Environments
Ref.:CHARIOT: An IoT
Middleware for the Integration
of Heterogeneous Entities in a
Smart Urban Factory

31. 31
► Seamless composition of
▪ Distributed production process
▪ Factory local production units
► Cloud services, e.g., data analytics,
machine learning, etc.
► Edge computing provides local service
offloading.
► Requirements for Service Discovery
▪ Quick response
▪ Exhaustive search results
▪ Scalable
Service Discovery in Cloud Manufacturing

32. 32
Discovery – DNS-based Architecture
IP IP
ActiveMQ
Directory Service Hierarchy
dnsroot
.de .com, .org, …
.dailabor.de
Dmz: mail.dailabor.de
Intranet:
git.dailabor.de
dns.de -> 72.2.2.31
dns.com -> x.x.x.x, y.y.y.y
dns.net -> a.a.a.a, b.b.b.b
dns.dai-labor.de
-> 130.149.x.x
...
mail.dai-labor -> j.j.j.j
git.dai-labor.de -> i.i.i.i
mail@dai ???
mail@dai ???
Mail client
j.j.j.j
j.j.j.j
j.j.j.j
• URL/ Agent-naming scheme
• Based on location or other attributes
• DNS-like provisioning, management… Statically by ISP, Admin
• Service finding
• URL unknown, lookup service (a.k.a Google search engine)
• Multiple hierarchy to distribute service description based according to multiple
attributes
• Update (hours), cache, security…
URL tree Providers Attribute X Others …

33. 33
► Triple Store: high performance RDF store
and query of semantic service/device
description.
► Semantic Matcher: mapping requested
search attributes and suitable
service/device descriptions.
► ICN Router: connectivity between SD-Nodes
with ICN transport protocol.
► Query Interfaces: distributed application
protocols for higher level access of
service/device description store, e.g., CoAP,
MQTT and Rest.
SD-Node Implementation
7/26/2017
SD-Node
SD-Node
NDN
SEMA
Directory
Implementation
Database
Service Module
Service Model
Directory API
Obj Model Module
REST
MQTT
Interfaces
OSGi Container
Matcher
IoT Gateway
Application
Service
CRUD
GUI
ICN - Router

34. 34
The Things Network - Community Network Make It Works
https://www.thethingsnetwork.org/community/berlin/post/der-iot-zoo-der-deutschen-bah-ag-wachst-weiter

35. 35
https://www.thethingsnetwork.org/community/hanoi/

36. 36
► Information fuels the coming industrial revolution
► Flexible infrastructure enables interoperable communication & business
systems
► Cloud computing is an important component of data infrastructure
► Openstack becomes open infrastructure
Conclusion

37. DAI-Labor
Sekretariat TEL 14
Ernst-Reuter-Platz 7
D-10587 Berlin
Xuan-thuy.dang@dai-labor.de
+49 30 - 314 74000Dipl. Inform. Xuan-Thuy Dang
Get In Touch
11

38. 38
Short Biography
Xuan Thuy Dang received his Diplom degree in Computer Science from Technische Universität Berlin,
Germany, in 2013. Since then, he has been a researcher at the German-Turkish Advanced Research
Centre for ICT (GT-ARC) and a Ph.D. candidate in the future mobile network group at DAI-Labor,
TU-Berlin.
His main research interests include software-defined networking, cloud computing, service-aware
network orchestration, mobile ad hoc networks, delay-tolerant networks, and information-centric
networking.