M2M-IoT towards 5G
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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.
M2M-IoT towards 5G
- 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