Networking Technologies for 5G

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1 The Fifth Generation Mobile Communications Promotion Forum (5GMF) Networking Technologies for 5G Network Architecture Committee 5GMF AWG-18 Kyoto, Japan 9 Mar /32

2 Contents 1. Mission of the network architecture committee 2. Market trends 3. Scenarios towards 5G 4. Network requirements and the relevant component technologies 5. Comprehensive architecture of 5G mobile networks 6. Technology roadmap toward 5G mobile networks 2/32

3 1.Mission of the network architecture committee 3/32

4 Organizational Structure of the 5GMF 4/32

5 Network architecture committee Network Architecture Committee Chairman Acting chairman Akihiro Nakao, Tokyo Univ. Ryutaro Kawamura, NTT Mission Study overall network architecture for 5G mobile Study requirements and technologies for network infrastructure Deliverable Networking technology roadmap White paper detailing on networking technology for 5G Strategy Working Group Chair Ryutaro Kawamura, NTT The working group for facilitating discussions 5/32

6 2.Market trends 6/32

7 Potential applications enabled by 5G Applications enabled by 5G (in blue area) Quality of User Experience (Reliability, Low latency) Online trading Telemedicine Autonomous driving Augmented/Virtual reality Computer-supported cooperative work Infrastructure surveillance 4K/8K live streaming for public sports viewing Sensor-assisted rehabilitation Applications delivered by existing technologies (in white area) Dynamic hot-spot services Quantity of Data (Peak data rate, Number of devices) 7/32

8 3.Scenarios towards 5G Based on pre-studies on future mobile networking by the Telecommunication Technology Committee (TTC) in Japan 8/32

9 Technological issues to consider Increase of data traffic on mobile communications Expanding coverage Enlarging user throughput Increasing capacity Accommodating large traffic fluctuation around 10Gpbs at peak 100 to 1,000Mbps at any given time Coverage expansion in the isolated area Larger capacity in the Extreme area 9/32

10 Technological issues to consider Load increase in C-plane Advancement of diversified types of service such as IoT/M2M Ultra low latency Provision of new services requiring real-time performance Real-time control for tactile communication, AR, M2M Ultra energy(electric power) saving Expansion of the number of links, equipment and capacity Ultra large-scale disaster/congestion/failure resilience Responsibility of mobile networks as social infrastructure: needs for resilience, recovery, promptness etc. 10/32

11 Proposal for introduction of 5G The network side will need the capability to efficiently accommodate a greater variety of traffic and connect with a wide variety and huge number of M2M/IoT terminals. Core NW: a new network architecture based on SDN/NFV technologies to efficiently accommodate multiple services and requirements. Mobile front/backhaul: the appropriate layout of function for ultra large capacity as well as the enhancement of transmission technologies. NW management: new SDN/NFV and virtualization technologies for scalable and flexible network management to deal with short-service life cycles. 11/32

12 4. Network requirements and the relevant component technologies Based on pre-studies on future mobile networking by the Telecommunication Technology Committee (TTC) in Japan 12/32

13 Requirements for 5G Network 13/32

14 Mobile network structure Core network PGW PGW MME, PCRF, HSS, etc. SGW SGW OSS/BSS Mobile backhaul (MBH) Mobile fronthaul (MFH) Small cells RRH RH BBU RRH Logical path 14/32 BBU RH RRH UE UE UE RH BBU Macro cells MME : Mobility Management Entity PCRF : Policy and Charging Rules Function HSS : Home Subscriber Server PGW : Packet data network gateway SGW : Serving gateway BBU : Base band unit RH : Radio head RRH : Remote radio head OSS : Operation Support System BSS : Business Support System

15 Relevant component technologies 15/32

16 Relevant component technologies 16/32

17 Relevant component technologies 17/32

18 5.Comprehensive architecture of 5G mobile networks 18/32

19 Network Softwarization view of 5G mobile Goal : End-to-End Quality and Extreme Flexibility to Accommodate Various Applications Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile) Virtualized networks/platform API Slice Control App-Driven API UE/ Device Radio access network (RAN) Mobile packet core Cloud Network management and orchestration Slice A Slice B Slice C Physical infrastructure (network, computing and storage resources) UE/Device Computation and storage resources Data Centers RAT(s) Network resources MFH MBH Transport 19/32

20 Network Softwarization view of 5G mobile Goal : End-to-End Quality and Extreme Flexibility to Accommodate Various Applications Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile) Virtualized networks/platform API Slice Control App-Driven API UE/ Device Slice A Slice B Slice C Radio access network (RAN) Mobile packet core Physical infrastructure (network, computing and storage resources) Cloud Network management and orchestration UE/Device Computation and storage resources Data Centers RAT(s) Network resources MFH MBH Transport 20/32

21 E2E Delay Breakdown Upwards Downwards User Equipment Application (Incl. Sensors) Mobile Network Control (MME, PCRF, etc) Server Application Platform RRH BBU S-GW P-GW Platform Radio IF Network IF Radio IF MFH MBH Transport Inter-Domain Network RRH (Remote Radio Head) BBU (Base Band Unit) S-GW (Serving Gateway) P-GW (Packet Data Network Gateway) MFH (Mobile FrontHaul) MBH (Mobile BackHaul) MME (Mobility Management Entity) PCRF (Policy and Charging Rule Function) <= 1ms Oneway 21/32

22 Description of each segment UE Processing Delay Air Interface Delay RRH Processing Delay Fronthaul Transmission Delay BBU Processing Delay Backhaul Transmission Delay S-GW Processing Delay Transport Network Delay P-GW Processing Delay Inter-Domain Network Delay Server Processing Delay 22/32

23 6.Technology roadmap toward 5G mobile networks 23/32

24 Technology roadmap: Focus Area Requirements End-to-end Quality of 5G Applications Extreme Flexibility Latency Data rate Number of Devices Technology Focus Areas Network Softwarization Deep Programmability Application Driven Multi-Tenancy Fronthaul / Backhaul Ultra Low Latency Data Isolation Management / Orchestration Automation Autonomy Knowledge Intelligence Analytics Edge Security Mobile Edge Computing 24/32

25 Technology roadmap: Timeline Network Softwarization SDN/NFV platform Management / Orchestration Autonomous control for specific use cases Fronthaul / Backhaul QoS Classifying/Slicing Mobile Edge Computing Delivery algorithm using MEC Elastic networks Advanced Self-Organizing NW Intelligent management platform Application oriented dynamic control Application support by use of edge computing Deeply programmable networks Application driven optimization Massive device management Economization of distribution networks Latency optimization for delay-sensitive applications /32

26 Detailed topics in each focus area Network Softwarization Extremely flexible networks that support e2e services with diversified requirements 1) Management and orchestration for intelligent mobile networks Management / Orchestration 2) Application driven network control and management 3) Management evolution for application handlings in 5G networks 1) QoS classify/slicing using virtualization technologies for high density transmission Fronthaul / Backhaul 2) Dynamic control of NW resources and path optimization according to applications and traffic amount 3) Economization and low latency using PON technologies Downsizing and cost reduction of optical devices Mobile Edge Computing Support of delay-sensitive services & applications 26/32

27 Network Softwarization Scope Extremely flexible networks that support e2e services with diversified requirements Challenges Allow combinations of any network functions (e.g., Access, MFH/MBH, transport and others) Optimize CAPEX with prompt delivery of new services. Reduced OPEX with scalable operation. E2E Quality of Applications & Services Extreme Flexibility NW Functions Slices Management & Orchestration Approaches 1. Facilitate softwarization by abstraction and Programmable API definitions 2. Achieve simplified workflows to allow prompt delivery of services 3. Design scalable management architectures to avoid complex data management UE/ Device Access Softwarization ComputingStorage Data Center Fronthaul Backhaul Transport Physical Resources 27/32

28 1) Management and Orchestration for Intelligent mobile network Scope Comprehensive management and orchestration for intelligent network driving Challenges Flexible, scalable and dynamic network building Capability and suitable QoE provision for diverse service requirements Autonomous network organization with intelligence Approaches Organization and optimization of the virtual network slices and network resources Capability of demand based policy execution Deep learning with autonomous analysis Service Applications Virtual Network Slices Software controlled Network domain Infrastructure & Resources Device Environments Policy on demand Network Management & Orchestration Cyclic Learning Monitoring & Analysis 28/32

29 2) Application driven network control and management Scope Application-driven and programmable network Challenges On demand application-driven configuration Data processing network for MTC/IoT Complex virtual network management End-to-end experience quality management Approaches User service, network customization, and network management APIs for configuration Dynamic slice network management for multi-layer and multi-domain mobile network Programmable and Scalable OAM for complex virtual network and huge management data Real-time E2E quality monitoring, analysis, visualization and control for application 29/32

30 3) Management evolution for application handlings in 5G networks Scope Realization of intelligence management scheme to handle 2020 period applications Challenges A) Manage over 50 billion services and devices on networks with short delay and per-service information isolation. B) Identify personals (e.g. organization, human, device) as network function. C) Non-contract based network for practical use of wired/wireless resources. Approaches Research target (example) a. Service aware device management b. Personal identification c. Flexible accounting Based on 5G characteristics. (e.g. Virtualization, Softwarization) Physical Virtual Personal identification (B, b) Human Terminals Organizations Flexible accounting (C, c) Wired/Wireless Resources Mapped Virtual Networks Accounting for used resources by a personal. Service aware device management (A, a) An operator manages all devices. Sync and Division A provider manages only devices for a service to decrease delays. 30/32

31 Mobile fronthaul and backhaul Scope Dynamic resource control and QoS slicing to support diverse applications using virtualization and economization technologies Challenges - High density transmission systems - Support for multiple generations RATs - Realization of E2E QoS and Multi-tenancy service - Low latency access - Low power consumption, low cost systems Approaches 1) QoS classify/slicing using virtualization technologies for high density transmission 2) Dynamic control of NW resources and path optimization according to applications and traffic amount 3) Economization and low latency using PON technologies Downsizing and cost reduction of optical devices Mobile backhaul (MBH) Mobile fronthaul (MFH) BBU RH RRH Small cell UE(4G) 4G-LTE Macro cell 1 Core Network Logical mesh path RRH GW 5G- BBU RH 5G- BBU RH Logical PtoP 3 RRH 2 RRH UE(5G) 5G 31/32

32 Mobile edge computing Scope Support of delay-sensitive services & applications Challenges To deliver high quality contents in time for better user experiences To achieve end-to-end ultra-low latency to satisfy critical delay requirements Approaches Information centric networks for intime delivery of contents Use of local facilities: computing and storage resources in edge cloud Intelligent network control for delay minimization. Telemedicine Information Centric Network RAT Advanced 5G application Augmented/ virtual reality Edge Cloud CONTENT Autonomous driving 4K/8K live streaming for public sports viewing RAT ID Mapping Registry CONTENT 32/32

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