Natasha Tamaskar VP, Global Marketing & Sales Strategy

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1 Driving to the Edge: How Open APIs and Open RAN will Transform Ordinary Parking Lots into Dynamic Data Centers Sep 25, 2018 Natasha Tamaskar VP, Global Marketing & Sales Strategy

2 The Next 30 Minutes The Next 30 Minutes Autonomous Vehicles The New Mobile Edge Evolving Role of Mobile Networks in Realizing the Vision of Autonomous Vehicles Pulling it All Together 2

3 Auto Autonomous Vehicles Mobile Connected and Controlled with Highly Efficient Mobile Networks Finally it Makes Sense!! 3

4 The Autonomous Revolution Disrupting the Mobile Industry Source: Deloitte University Press Creating The New AutoMobile Edge 250 million vehicles will be connected globally by 2020* *Source: Gartner 4

Driving New Efficiencies and Economies Self-Driving $273

2026 Source: GSMA, Machine Research Cloud Services Self-Parking

$$$$$$$$$s Trillions forecasted in overall economic value

5 Driving New Efficiencies and Economies Self-Driving $273 Billion Potential application revenue of connected vehicles by 2026 Source: GSMA, Machine Research Cloud Services Self-Parking 62% reduction in space needed if the garage was reserved exclusively for self-parking cars. 26% when co-exists with human-based parking Source: PCMag $$$$$$$$$s Trillions forecasted in overall economic value driven by self-driving cars fuel savings, accident avoidance, traffic efficiencies, personal productivity, etc. 5

6 It Comes With the Tsunami of Mobile Data 4 TB per day Estimated amount of data that an autonomous car will generate in about an hour and a half of driving Source: Intel 6

Parking subscription LBS Traffic updates

Intelligence Very-Low Traffic Efficiency

Collision Warning Platooning Self-Parking

7 Demanding Unforeseen Network Latencies Latency Low Personal Services Infotainment Parking subscription LBS Traffic updates Augmented Maps Experience Centric Intelligence Very-Low Traffic Efficiency Ulta-Low Vehicle Steering Real time traffic re-routing Bird s eye view of roads and parking lots E-Tolling Fleet Management Collision Warning Platooning Self-Parking Autonomous Navigation Time Sensitive Responsiveness Mission Critical Reliability Applications 7

8 Evolving Role of Mobile Networks 8

New Mobile Standards in Place to Accelerate Innovation & Adoption Cellular V2X Win-Win for Automakers, Infrastructure Operators, Mobile Operators, Consumers Part of Release 14 of the global 3GPP

9 New Mobile Standards in Place to Accelerate Innovation & Adoption Cellular V2X Win-Win for Automakers, Infrastructure Operators, Mobile Operators, Consumers Part of Release 14 of the global 3GPP standard Builds upon existing LTE connectivity platform for automotive applications Enhances Range and Latency for V2X direct communications Leverages existing LTE networks for V2N communications 5G compliant Strong ecosystem support Improved Perception Better Path Planning Real-time Local Updates Coordinated Driving Integration Challenges Ensue 9

10 Autonomous Driving Needs Autonomous Networks Traditional RAN Proprietary Vendor lock-ins, slow time to market and high innovation cost Embedded Integrated control and data, proprietary interfaces Fixed Pre-programmed control logic and fixed network resources Integrated Integrated RRU & BBU with high cost last mile transport Platform Software Modularity Application and Network Adaptability Deployability and Manageability Software-Defined Open white box hardware and software (NFV, SDN) efficiencies Unbundled Disaggregated control / data, OpenAPIs Programmable Programmable based on real world network conditions Flexible Deployment architecture and front haul agnostics Next Generation Open RAN Open RAN Architecture - A MUST HAVE to Realize the Vision of Autonomous Vehicles 10

MEC Paving the Path for Low Latency High Bandwidth V2X & X2V Communication Application Aware Programmable Data Treatment at the Edge V2X & X2V Edge Applications Core Network

Telematics Ultra-Low Latency V2I and V2N IoT Communication Autonomous Navigation Real-time RAN Aware Data Treatment FOTA, SOTA, Emergency Response Location Aware Service

11 MEC Paving the Path for Low Latency High Bandwidth V2X & X2V Communication Application Aware Programmable Data Treatment at the Edge V2X & X2V Edge Applications Core Network Proximity to the Customers & Devices High Bandwidth Data Analytics & Overlay at the Edge AR/ VR, HD Maps MEC Platform Local Breakout of Data to Local Service Providers - Telematics Ultra-Low Latency V2I and V2N IoT Communication Autonomous Navigation Real-time RAN Aware Data Treatment FOTA, SOTA, Emergency Response Location Aware Service Insertion Based on Crowdsourced Data Reduces latency & improves QoE Enable new services based on location Dynamic service creation Mobile Edge Cloud Reduce load on back haul & core network 11

Use Case: Transforming Ordinary Parking Lots into Dynamic Data Centers Policy driven Time Location Service RAN Slice 1

enodeb Parking MEC application authenticates the car, triangulates available parking spots in the area and

parking automatically or manually Location and HD map of the parking spot is sent to the car The car s GPS system

12 Use Case: Transforming Ordinary Parking Lots into Dynamic Data Centers Policy driven Time Location Service RAN Slice 1 RAN Slice 2 Data Feeds Parking Edge Application Parking DB Parking Server RAN Slice 3 Radisys MEC Host Platform Core Network Slicing Optional Parking spots subscribe and notify their status to the cloud parking MEC application Parking event requested by car via connected mobile network MEC host receives the parking request and location information from enodeb Parking MEC application authenticates the car, triangulates available parking spots in the area and automatically assigns a parking to the car based on its location The car can be configured to accept the assigned parking automatically or manually Location and HD map of the parking spot is sent to the car The car s GPS system navigates the car to the assigned parking spot Once the car is parked, it tracks parked duration and automatically charges subscribers credit card 12

Use Case: RAN Aware Over The Air (OTA) Upgrade of Vehicle Firmware Device Wireless

Application Strong Coverage Detected FOTA CDS Firmware Content Server RAN Radisys MEC

transport costs Higher reliability and policy enforcement to prevent upgrade failures

after the device is in the hands of consumers.

13 Use Case: RAN Aware Over The Air (OTA) Upgrade of Vehicle Firmware Device Wireless Network Conditions Analyzed Firmware Content Server Firmware- Over-the-Air (FOTA) Edge Application Strong Coverage Detected FOTA CDS Firmware Content Server RAN Radisys MEC Host Platform Firmware File Transfer Started Core Network CSPs can save on firmware transport costs Higher reliability and policy enforcement to prevent upgrade failures Augments scalability by adding new features and infrastructure to products after they are released. Continuous Improvement: Bugs and product behavior can be continuously improved even after the device is in the hands of consumers. Agility: Companies can test new features by sending updates to one or multiple devices. Time to Market: Developers can deploy frequently and reliably, knowing that products will stay functional as updates are released. 13

14 Pulling Together the Solutions 14

of potential choices Each choice introduces tradeoffs that affect the overall solution architecture We ve not explored all domains (OSS, UE apps

15 What Does it Take to Pull Together a Mobile Edge Solution? ETSI MEC Architecture is used as an example, but it s use is not mandatory Each domain represents a specific aspect of the solution with a number of potential choices Each choice introduces tradeoffs that affect the overall solution architecture We ve not explored all domains (OSS, UE apps etc. are left out) #1: Identifying choices that map to each domain & location #2: Software and Hardware Integration of those choices #3: Functional & performance testing, including scaling = A Domain 3 major problems to be solved 15

16 Radisys Edge Computing Platform Software Multi-Access Wireless (RAN solution) Wireline (software defined broadband access) P4 based Data Plane Software ONU/ ONT ONU / ONT SPLITTER Splitter WHITEBOX OLT Whitebox OLT PON PON CDN Node ETSI MEC APIS mp1 & mp2 VIRTUALIZED VIRTUALIZED OLT (sw defined OLT wireline (Software access ) defined broadband access) VIRTUALIZED RAN (Baseband Unit BBU) Video Apps AI Inference & Analytics Cloud Edge & 3 rd Party Mobile Edge Applications Radio NW Services RNIS APIs Location Services USER INFO APIs NW APIs Networking Services (x86 Data Plane, Packet Routing & Filtering) Edge Computing Platform Services Management Layer SDN control VNF management Orchestration management Orchestration NFVI ( VIM tool OPENSTACK or Container Mgmt/Kubernetes) Edge Computing Management Services SDN-C (3GPP CUPS) VNF Manager Orchestrator (ONAP) VNF/Container Onboarding Layer Software services around onboarding 3 rd party MEC applications as containers/vnfs CORE NETWORK (MNO EPC/BNG) Management Layer SDN control VNF management Orchestration management Orchestration tool CLOUD APPLICATIONS Cloud Applications TRADITIONAL CDN Traditional CDN INTERNET Internet Compute (x86) Networking Storage Radisys Software Platform Agnostic Solution Cloud Native Platforms Cloud Native Platforms Data Center Platform Agnostic Solution Cloud Native Platforms 16

17 Smart Parking - Implementation Architecture Parking Requests Made by Vehicles #A vapps Smart Parking Live Video/Content Application Server Virtual Media Server Edge User Traffic Service Orchestration Lifecycle Management ONAP Orchestration & Automation Centralized Cloud #B Radio Network Services MEC Host SW Platform P4 Programmable Data Plane enodeb vran vmme vsgw vpgw IP/Transport Network Internet #C M-CORD (XOS, ONOS, OpenStack) Edge Cloud RSYS L2/L3 + Intel FlexRAN 3 rd Party Open Source + Radisys 17

Strategic Product and Service Portfolio MobilityEngine MediaEngine FlowEngine ServiceEngine Strategic Focus Markets Software Defined, Unbundled and Open Cloud RAN Solutions, 3GPP, xran, CORD, TIP

18 Strategic Product and Service Portfolio MobilityEngine MediaEngine FlowEngine ServiceEngine Strategic Focus Markets Software Defined, Unbundled and Open Cloud RAN Solutions, 3GPP, xran, CORD, TIP Compliant Virtual RAN, LTE-A, CBRS, 5G, MEC and IoT Virtualized Media Server Processing for Rich Media Services VoLTE, VoWiFi, Conferencing, Video, Transcoding Traffic Distribution & Programmable Data Plane SDN, NFV, Security, Service Function Chaining, TAP, Load Balancing Conceptualization Software Customization Network Design and Integration Testing and Automation Field Deployment Value to Customers > 50% Reduction in CAPEX and TCO > 50 Reduction in Recurring OPEX > 40% CAPAX Savings > 80% Lower Cost per 40G Port Global Support 18

19 Open Radisys Taking Pain Out of Open Integration Global Support Proof of Concept Break Vendor Lock of Incumbent Proprietary Expensive Solutions Enable Open Telecom Solutions: Higher scale and performance at lower cost; Reduce CAPEX and OPEX Field Deployment Broadband. Mobile. Media Software Customization Improving Business Model Expanding gross margins driven by improved software revenues; sustainable profitability on lowered expense structure DevOps Core Philosophy Agility enabling Rapid Service Creation: accelerate integration and TTM Testing and Automation Network Design and Integration 25 years of experience with System Integration With deep enabling core technologies unlike other integrator - Trusted Partner 19

20 Thank You 20

IEEE NetSoft 2016 Keynote. June 7, 2016

IEEE NetSoft 2016 Keynote. June 7, 2016 IEEE NetSoft 2016 Keynote June 7, 2016 0 Contents Introduction - Network Evolution & Operator Challenges Re-architecting the RAN SDRAN: Software-defined RAN - Overview & Enabling Features SDRAN Opportunities