The document discusses advancements in IoT and M2M technologies aimed at enhancing smart city infrastructure, focusing on programmable cities that leverage SDN and NFV for improved connectivity. It highlights the need for lower latency, increased bandwidth, and greater security for communication infrastructures to support various applications such as traffic control, smart utilities, and connected vehicles. The integration of cloud technologies and virtualized network functions is emphasized as a means to enable dynamic traffic management and edge computing, ultimately enhancing the livability of cities.

1. M2M-IoT towards 5G
Marie-Paule Odini – HPE CT Office

2. Smart Transportation Smart premises
Smart utility
Fleet
management
Traffic
control
Vehicle
charging
Factory of
the future
Apartment
automation
Smart home
Intelligent
appliances
Smart
metering
Water & wastewater
treatment
Water & gas pipeline
automation
General
modernization
Small-scale
generation
Distribution &
transmission
automation
Connected
Car
Data
Cloud
Data Acquisition
and Analytics
Security Ubiquitous
Connectivity
A
IoT verticals and communication infrastructure
2Confidential

3. Growing set of needs on the communication infrastructure
3Confidential
More bandwidth
Lower latency
Different spectrum band
Low power, energy saving
More security
Ubiquitous, connects to different network
Dynamic profile (end device, relay, gwy, etc)

4. 4
“Smart cities is such a big phrase - what does
it mean?” replies Paul Wilson. “Really the goal
for a city is to become more livable rather than
smart, and technology is one way of doing that.
With that in mind we didn’t want to be lost in the
noise so we decided to call ourselves a
‘Programmable City’ because of developments
in SDN, and NFV. We see that as a game-
changer because it promises to provide the
level of connectivity that would be needed for a
‘smart city’. “
Paul Wilson, Bristol Smart City project lead

5. Leveraging 3GPP M2M/IoT platform in 3GPP

6. 6
Virtualize, Decompose and Move to NFV
Network Virtualisation Approach
Standard High Volume
Whitebox HW (e.g Ethernet Switches)
Standard High Volume Storage
Standard High Volume Servers
BRAS
FirewallDPI
CDN
Tester/QoE
monitor
WAN
Acceleration
Message
Router
Radio Network
Controller
Carrier
Grade NAT
Session Border
Controller
PE RouterSGSN/GGSN
• Fragmented non-commodity hardware.
• Physical install per appliance per site.
• Hardware development large barrier to entry for new
vendors, constraining innovation & competition.
Classical Network Appliance Approach Virtualized
Network
Function
Virtualized
Network
Function
Virtualized
Network
Function
Virtualized
Network
Function
Virtualized
Network
Function
IndependentSoftwareVendors
Cloud automation &
SDN programmability
T$
M2M/IoT
Platform
CLOUD
M2M/IoT
platform

7. Orchestrate based on ETSI NFV architecture
NFVI
MANO
VNF
VIM
M2M/IoT
Function and
VNF Manager

8. Leverage SDN to optimize traffic engineering dynamically
8
traffic rerouted via SDN to virtualized IoT IMS Core
Virtual IMS
SDN Cloud
(virtual Data Center)
IMS
Service #1
IMS
Service #2
IMS
Service #3
Ex: M2M
Mobile
Fixed
SDN Switch
SDN controllers
SDN network
NW applications
M2M/IoT
device
Application (ex VoLTE)
Traffic Control
Policies
Traffic

9. Mobile Edge Contents and Computing (MECC)
Distribute IoT functions to the edge of the network
 Open base station with open APIs to host applications at the edge of the network
 Reduce Latency, Reduce unecessarry traffic flows through the core network
 ETSI MEC: many use cases => Content caching, video compression, etc
Source: IMT2020

10. Fog Computing … empowering the device to become a network hub
Dynamic device profile
Dynamic network topology

11. Towards a 5G architecture
IoT Devices
IoT Gwy
Access Point
IoT Applications
IoT platforms
(device, connectivity
Management)
Source: NGMN

12. Dedicated IoT Network Slice
Source: NGMN White paper