SoftCOM '18 tutorials

Transcription

1 SoftCOM '18 tutorials 5G Technologies and Use Cases by Benedek Kovacs Budapest University of Technology and Economics, Hungary September 13-15, 2018.

2 5G Technologies and Use Cases Presenter: Bendek Kovács, PhD (Senior Specialist, Network Performance, Ericsson)

3 Connected devices in 2022 Source: Ericsson Mobility Report 11 billion (today: 10 bn) Mobile phones, pc/laptop/tablet 29 billion: 18 billion (today: <6 bn) Smart industrial & consumer devices

4 One common network platform Management Access Applications Cloud Infrastructure Transport Flexibility, Time to Market, Total cost of Ownership 20 Gbps End-user data rates 1000x Mobile data volumes ~1 ms Lower latency 1M/km 2 More devices Cost Device cost reduction 10+ Years battery life +20 db Better coverage

5 5G main components and their evolution Wireless Access LTE evolution NB-IoT NR Massive MIMO Transport Fronthaul Backhaul Resource Differentiation RAN Transport Interaction Cloud NFV SDN Virtual Data Center PaaS 5G Network Applications Cloud Enabled Scalability Distributed Deployment Cloud Native Management Orchestration Analytics Automation Security

6 Outline The Background of the G Massive Machine Type Communication, NB-IoT Device Management, Industry 4.0 Plug and Produce Field Device Distributed Deployment, Distributed Cloud and Edge Computing

7 The Background of the G Mobile Telecommunication Networks

8 2G and 3G origins GSM 3G GSM WCDMA Circuit switched core Authentication, Security, Connectivity, Mobility Telephony services Packet core Authentication, Security, Connectivity, Mobility Internet or private network Data services

9 2G and 3G origins GSM 3G GSM WCDMA Circuit switched core Authentication, Security, Connectivity, Mobility Telephony services Circuit Switched (CS) Voice APPLICATION Packet core Authentication, Security, Connectivity, Mobility Internet or private network Data services

10 3G HSPA (High Speed Packet Access) GSM GSM Circuit switched core Circuit Switched (CS) Voice APPLICATION 3G WCDMA Packet core Data Data HSPA Data Internet, VPN, etc. Wi-fi Authentication, Security, Connectivity, NO Mobility

11 4G, Long Term Evolution (LTE) GSM 3G HSPA LTE GSM WCDMA LTE Wi-fi Data Circuit switched core Authentication, Security, Connectivity, Mobility Telephony services Evolved Packet core Authentication, Security, Connectivity, Mobility Data services Circuit Switched (CS) Voice APPLICATION Long Term Evolution (4G, LTE) networks allow x10 data speed than 3G networks Data Internet, VPN, etc.

12 Circuit switched fallback: LTE Data, CS voice GSM GSM Circuit switched core Circuit Switched (CS) Voice TELEPHONY APPLICATION ADD ON SERVICES: e.g voic 3G WCDMA Since pure LTE networks does not support telephony services, 3G fallback is needed HSPA LTE Data Evolved Packet core Data Internet, VPN, etc. LTE Wi-fi Fallback to have voice services

13 Voice over LTE with IP Multimedia Subsystem (IMS) GSM GSM Circuit switched core Circuit Switched (CS) Voice TELEPHONY APPLICATION ADD ON SERVICES: e.g voic 3G WCDMA VoWiFi VoLTE IMS Telephony Packet Switched Voice TELEPHONY APPLICATION ADD ON SERVICES: e.g voic HSPA LTE LTE Wi-fi Data Evolved Packet core Authentication, Security, Connectivity, Mobility Data services Data, Enterprise APN Data, Internet APN Internet or virtual private network

14 IMS centralized services GSM GSM Circuit switched core Circuit Switched (CS) Voice RELAY ONLY 3G WCDMA VoLTE IMS Telephony Packet Switched Voice TELEPHONY APPLICATION CENTRALIZED SERVICES: e.g voic , authentication HSPA LTE Data Evolved Packet core Data Internet or private network LTE Wi-fi

15 Voice over LTE, Voice over WiFi GSM GSM Circuit switched core Circuit Switched (CS) Voice RELAY ONLY 3G WCDMA VoWiFi VoLTE IMS Telephony Packet Switched Voice TELEPHONY APPLICATION CENTRALIZED SERVICES HSPA LTE LTE VoWiFi Evolved Packet core Data Data Internet or private network Wi-fi Wi-fi Authentication may move to EPC

16 VoLTE and VoWiFi: why keep 2G, 3G? GSM GSM Circuit switched core Circuit Switched (CS) Voice RELAY ONLY 3G WCDMA VoWiFi VoLTE IMS Telephony Packet Switched Voice TELEPHONY APPLICATION CENTRALIZED SERVICES HSPA LTE LTE VoWiFi Evolved Packet core Data Data Internet or private network Wi-fi Wi-fi Frequency is a very expensive resource!

17 Pure 4G, LTE telephony networks with wi-fi VoWiFi VoLTE IMS Telephony Packet Switched Voice TELEPHONY APPLICATION CENTRALIZED SERVICES LTE LTE VoWiFi Evolved Packet core Data Internet or private network Data Wi-fi Wi-fi

18 5G networks are built on Enterprise partnerships IoT Applications IoT Platforms Media Servers Netflix / IP TV applications 5G NR IoT Services Media APP NB-IoT IMS Telephony Packet Switched Voice TELEPHONY APPLICATION CANTRALIZED SERVICES Data VoLTE 5G Packet core Data LTE LTE VoWiFi Data Internet or private network Wi-fi Wi-fi New types of radio access networks built for different purposes and new services

19 5G network slicing 5G NR Shape the 5G core network for the applications and services Industry Packet core IoT Packet core Industrial AR/VR Robot Control IoT Services NB-IoT LTE LTE VoLTE VoWiFi Telecom Packet core VoLTE Media APP IMS Telephony Wi-fi Wi-fi Data Internet or private network Packet Switched Voice TELEPHONY APPLICATION CANTRALIZED SERVICES

20 Example of Network slice types Massive MTC Enhanced MBB Enterprise and Industry Critical Communication and MTC Low cost Low energy Massive numbers Wide area coverage Internet access Operator services High availability High reliability Low latency Very high availability Very high reliability Very low latency

21 Outline The Background of the G Massive Machine Type Communication, NB-IoT Device Management, Industry 4.0 Plug and Produce Field Device Distributed Deployment, Distributed Cloud and Edge Computing

22 Massive Machine type communication It s a mobile network, not for smartphones but for IoT devices

23 IoT: Wide Range of Requirements Massive Machine Type Communication Critical Machine Type Communication Smart building Smart meter Logistics, tracking and fleet management Smart agriculture Capillary networks Remote health care Traffic safety & control Industrial application & control Remote manufacturing, training, surgery Low cost, low energy Small data volumes Massive numbers Ultra reliable Very low latency Very high availability

24 Transport & Logistics Fleet Management Goods tracking Agriculture Climate-Agriculture monitoring Live stock tracking Environment Flood monitoring & alert Environmental monitoring (Water, air, noise, etc) Industrial Process monitoring & Control Maintenance monitoring Massive IoT Utilities Smart metering Smart grid management Smart cities Smart parking Smart bicycles Waste management City lighting Smart buildings Smoke detectors Alarm systems Home automation Consumers Wearables Kids/Elderly tracker Medical monitoring

25 Connected park Connected park services: From guessing to knowing, measure the health of the park An intelligent maintenance system, an AR enabled worker Vibration reports on tools Remote operation Customer services developed on popular common Platforms Requirements: Totally different traffic model (low and high bw, massive number of devices, rare communication) Cheap device is required, low Operator ARPU Low power devices are required Heavily customized application Security?, Positioning?, Zero touch management?, etc.

26 Ericsson paving the way to 5G 150 Mbps 300 Mbps 600 Mbps Ericsson Lean Carrier 1 Gbps 5G Cat-1 Power Saving Mode Extended Coverage Narrowband-IoT

27 3GPP access technologies Bandwidth Coverage Battery life Throughput (peak) Security Mobility Deployment Cat-M1 1.4MHz 160dB (+15dB) 10+ Year 0.8/1 Mbps full duplex Connected & idle mode mobility SW NB-IoT 200kHz 164dB (+20dB) 10+ Year 227/250kbps multi-tone UL Idle mode mobility SW EC-GSM-IoT 600kHz 164dB (+20dB) 10+ Year 473/473k bps Idle mode mobility SW

28 Outline The Background of the G Massive Machine Type Communication, NB-IoT Device Management, Industry 4.0 Plug and Produce Field Device Distributed Deployment, Distributed Cloud and Edge Computing

29 Example: Industry automation Local area Enterprise demanding C-MTC traffic, NB-IoT sensors, smart worker with AR/VR embb Diverse use cases with diverse reqs. M-MTC C-MTC Sensors and remote analytics vplc de-wiring Warehousing Smart Worker

30 Device management overview Device Management Provisioning Onboarding LCM (rest) Original Device Manufacturer Communication Service Provider SIM Broker Players Steps of the Device s Life Cycle Management (LCM) Enterprise / Industry

31 Device management overview Device Management Provisioning Onboarding LCM (rest) Original Device Manufacturer Communication Service Provider SIM Broker Enterprise / Industry Scope: Insert the device credentials to the necessary databases, including specification of its basic connectivity profile

32 High level provisioning Device Provisioning Telecom Provisioning: the step when you create a SIM card and store the corresponding authentication profile in the Mobile Operator s user DB: 2G/3G: HLR SMS based IoT Devices 4G/NB-IoT/5G: HSS Most of the NB-IoT devices will fall here, currently adopting 5G: Unified Data Management (UDM) function IT Provisioning: the step when you store authentication credentials of the system on the device and in the IT application authentication database IT / Enterprise domain Mobile Network Operator domain Intelligent Field Device Prov. API Rx Prov SOAP Notification Connectivity API MME PCRF HSS SGW Process Control System PGW Device Management Server Service Exposure Open APIs - for specific services - HTTP/Rest Prov Application

33 Device provisioning (example)

34 Device management overview Device Management Original Device Manufacturer Provisioning Onboarding LCM (rest) Communication Service Provider SIM Broker Scope: the process of connecting a field device to a plant network, configuring it automatically, and enabling it to participate in a production process Enterprise / Industry

35 Plug and Produce for adaptable Factory Plug and Produce for Field Devices Use case defined by the Industry 4.0 Similar to the computer plug-and-play, the manufacturing Field Devices should have plugand-produce capabilities for future production lines. New field devices can be integrated into production lines with minimal or no manual overhead Alternative solutions based on industrial standards IEC (OPC UA) and IEC (FDI) 3GPP rel16 SA1 S proposes requirements on 3GPP networks IT / Enterprise domain Mobile Network Operator domain Intelligent Field Device Prov. API Rx Prov SOAP Notification Connectivity API MME PCRF HSS SGW Process Control System Prov. API PGW Device Management Server Service Exposure Connectivity API Plug and Produce Service Prov Application

36 Use case Actors and steps as Defined by Industry 4.0 Problems: not at all easy even 5G Core APIs require Telecommunication competence no proper API, no proper 5GC (EPC) methods Provided by core network System boundary «precedes» Validation Authority «precedes» 2. Discover device 3. Establish basic communication «include» Automation Server «precedes» «include» 4. Assess capabilities «include» Device Management Server «precedes» 5. Configure device «precedes» Process Engineering Tool Controller Network Configuration Service 1.Connect device physically «include» Integrate Device «include» «include» 6. Integrate device into production Plant Operator Source: Industrie 4.0 Plug-and-Produce for Adaptable Factories. on/industrie-40-%20plug-and- Produce.pdf? blob=publicationfile&v=7 «invokes» «invokes» Commissioning Engineer Intelligent Field Device Process Control System HMI

37 Device onboarding (Example)

38 Device management overview Device Management Original Device Manufacturer Provisioning Onboarding LCM (rest) Communication Service Provider SIM Broker Enterprise / Industry Scope: the process of managing the device while it is in operation for example executing firmware update, application software update, etc.

39 Outline The Background of the G Massive Machine Type Communication, NB-IoT Device Management, Industry 4.0 Plug and Produce Field Device Distributed Deployment, Distributed Cloud and Edge Computing

40 Distributed Cloud The cloud infrastructure for 5G Low latency communication is only feasible if the application part runs close to the mobile device Distributed cloud is the enabler to place your application to the right location to achieve low latency and optimize on bandwidth

41 Any guess on what is this?

42 Network topology AL H Tower site (macro RBSs) Cb Co Co Ag Ag Telephony Local Ag Ag Regional LS UP CP Media LTE Wi-fi AL H Tower site (macro RBSs) Co Cb Up to 500km Up to 50km Ag Ag Policy SDM Core network Control APP Central Cloud Infrastructure

43 Network topology AL H Tower site (macro RBSs) Cb Co Local Co Ag Ag Ag Regional Ag LS UP CP Telephony LTE Wi-fi AL H Tower site (macro RBSs) Co Cb Up to 500km Up to 50km Ag Ag Policy SDM Core network Media APP Central Cloud Infrastructure

44 Distributed Infrastructure Distributed Cloud Edge site AL H Tower site (macro RBSs) Cb Control UP APP Edge Cloud Infrastructure Co Local Co Ag Ag Ag Regional Ag LS UP CP Telephony LTE Wi-fi AL H Tower site (macro RBSs) Co Cb Up to 500km Up to 50km Ag Ag Policy SDM Core network Media APP Central Cloud Infrastructure

45 Distributed Cloud infrastructure Enhanced Mobile Broadband Critical Communication Massive MTC Application Internet Internet Application Internet Core NW Core NW Latency ~30ms RAN Latency ~30ms Application Core NW Latency ~1ms RAN Latency ~30ms Latency ~5ms RAN Latency ~1ms Radio processing Radio processing Radio processing

46 5G Core architecture Overview Distributed User Plane Function Leverage new CP / UP split Enables flexible deployment options Local service network support AUSF NG12 NG13 NG8 UDM NG10 PCF NG7 NG5 NG1 NG2 AMF NG11 SMF Local Service Network NG4 NG4 NG15 NG UE 5G RAN NG3 UPF NG6 NG9 UPF NG6 IP services network (e.g. operator or Internet)

47 Geographical distribution Rijeka Zagreb Osijek Zadar Legend Capital Major cities Split

48 Demanding applications require edge computing Mapping application components between Device, edge and central Cloud Application Demanding application Software Analysis fn CPU, Mem, Storage fn CPU, Mem, Storage Data Char Data Char fn Data Char fn CPU, Mem, Storage Data Char Data Char fn CPU, Mem, Storage fn CPU, Mem, Storage fn fn CPU, Mem, Storage Data Char fn CPU, Mem, Storage Mapping onto edge computing infrastructure Device Expose to 5G Device BW, Delay Edge Cloud BW, Delay Central Cloud CPU, Mem, Storage, Power CPU, Mem, Storage, Power CPU, Mem, Storage, Power

49 Reference use case Machine Vision Edge Site Orchestration & Exposure API Marketplace * Azure IoT Edge * CSP Core Machine Vision & Augmented Reality with Edge support Multiple cameras are streaming videos from different angles about the scene to the edge. On the edge machine intelligence is able to detect objects and determine their positions in real-time. Other set of clients can access RT location data and use it for AR and machine control cases. Cloud Platform

50 Key Takeaways The evolution of networks is motivated by new services and cost reduction Network exposure, programmability, simplification, easy user interface Network slicing, parts of the network are purpose optimized 3GPP security is a key asset, ongoing discussions about device life cycle management solutions Distributed Cloud infrastructure is the infrastructure for low latency communications

51 References TR Study on Architecture for Next Generation System TR Study on management and orchestration of network slicing for next generation network. TS System Architecture for the 5G System TS Procedures for the 5G System

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