Intersection of 5G & Open Reference Platforms Tom TOFIGH, PMTS, AT&T

Size: px

Start display at page:

Download "Intersection of 5G & Open Reference Platforms Tom TOFIGH, PMTS, AT&T"

Bernice Cole
5 years ago
Views:

1 Intersection of 5G & Open Reference Platforms Tom TOFIGH, PMTS, AT&T 2015 AT&T Intellectual Property. All rights reserved. AT&T and the AT&T logo are trademarks of AT&T Intellectual Property. AT&T Proprietary (Internal Use Only). Not for use or disclosure outside the AT&T companies except under written agreement.

Driving Force for 5G and Beyond: Disruptive Network Connectivity Better, Faster,

Models IC Vendor Artificial walls ODM OEM Operator Content Supplier Modular Capabilities

Traceability / Dynamic Analytics AI/ ML, AR/VR, Robotics, Flying objects Predictive &

data sharing Remote Diagnostics Increase Trust and Transparency Enable Human and Machine

2 Driving Force for 5G and Beyond: Disruptive Network Connectivity Better, Faster, Flexible, Elastic Access, Edge cloud and MEC Services Emerging cloud centric Operating Models IC Vendor Artificial walls ODM OEM Operator Content Supplier Modular Capabilities / White Box Open Source Platforms & Blue Prints Economically Viable Eco Systems Digital Traceability / Dynamic Analytics AI/ ML, AR/VR, Robotics, Flying objects Predictive & Scenario Driven Micro Services & Third Party Applications Empowered Customers Seamless data sharing Remote Diagnostics Increase Trust and Transparency Enable Human and Machine Collaboration Lower Operating Cost Predictive and Zero Touch, Automation Open & Democratized Interfaces

3 Rise of Open RAN -> Unified SD-RAN for 5G and Beyond

4 RAN Evolution & Transformation to SD-RAN an Opportunity for In band Radio Telemetry SD-RAN Distributed Radio Resources Mix of High and Low Power Radio Split Architecture Mobile Edge Optimized For Service Specifics SDN/NFV Open Platform with Democratized Interfaces Need for programmable Radio pipelines + In band Network Telemetry

5 How about Control over Sharing and Coexistence Coexistence allows two or more systems to operate with least impact to each other. Often uncoordinated with focus on interference avoidance. Aggressive use of mostly unpaired spectrum in 5G may require some synchronization between coexisting systems. Sharing of common spectrum resources especially if proactive and coordinated can boost system capacity and performance May be a combination of pre-arranged rules and opportunistic sharing May Involve Multi-Tier Priority Access Sharing Also benefits from synchronization when feasible

Having a unified air interface and frame

mixed numerologies helps with coexistence

6 Does Unified Air Interface Helps with Coexistence? Having a unified air interface and frame structure allowing concurrent operation of mixed numerologies helps with coexistence across use cases when (semi) synchronized. NR V2X (in R16+) UA V Interference s Terrestrial UE Serving BS Non-Terrestrial Access Network (NTN in R16+) IoT (in R16+) Source Samsung

7 Separation of Control and User plane SD-RAN User Plane Control Plane PDCP High RLC Low RLC High MAC Low MAC RRC Control ICIC Control Paging Control Bearer Control Admission Control System Broadcast Measurement Reporting SD&C Control Interface SO Interface (A1) SON Control (E2) Slice MLB Control (E2) Handover Control (E2) Carrier Agg. Control (E1) High PHY Low PHY Radio/MIMO AMF Control Power Control Antenna Configuration Frequency/Beam Control SMF Control (Core) RAN Slicing Control (E2) Scheduling Control (E2) FCAP Control ( NEM)

8 Radio Resource Manager -> (SD-RAN) -> Rise of ORAN Common Control & Configuration for Split Architecture Extended Control Configuration options to vendors specific features Unified vprobe and Analytic Registration process Well Known Functional Interface & APIs Measurement Configuration, Control and Reporting RRC Measurement Config RRC Measurement Report L2 Measurement Config L2 Measurement Report Frequency Selections Power Level Antenna & Beam Forming Commands Handoff Actions Scheduling and Slicing RAN Control UE Admission Control Cell Configuration

9 What Open Reference Platforms Offer Offers new user experiences AR/VR, battery life, M2M, Edge clouds, Provides for new types of connectivity services Seamless, carrier aggregation, QOS, Metering, etc. Provides for autonomous operational flexibility Analytics, Performance, latency scale, security, Reliability, and programmability Performs frequent control across the RANs hyper densified set of technologies and macro, small and micro cells. Observability and Ml approach RRC Measurement Config RRC Measurement Report L2 Measurement Config L2 Measurement Report Frequency Selections Power Level Antenna & Beam Forming Handoff Actions Scheduling, Slicing RAN Control UE Admission Control Cell Configuration

Leads to Adaptive Analytics for 5G with Open Reference Platforms The Services of

/ WiFi / LiFi Cognitive Spectrum Management Connectivity and Mobility

Handling Better Faster Optimal Pipes Untapped Spectrum Local Content Routing

10 Leads to Adaptive Analytics for 5G with Open Reference Platforms The Services of The Future M2M / IOT LTE/5G Maximize Throughput Bigger Pipes 5G-6G Wireless Femto / WiFi / LiFi Cognitive Spectrum Management Connectivity and Mobility Reconfigurable Dynamic Pipes Collaborative Communications More Efficient Data Handling Better Faster Optimal Pipes Untapped Spectrum Local Content Routing Compression Edge Cloud Solutions That Support Increased Data Usage & A Richer Multimedia Experience

Rise of Open Reference Platform Blue-Prints Master Orchestrator [Open Network Automation Platform (ONAP)]

. 5G Applications 5G Services Radio Resource Control Slicing Manager Control Split Architecture Control Applied

Interface (SD-RAN, Fronthaul, SD-CORE) Modular and Disaggregated Virtual RAN Functions: DU, CU RAN Common RAN

services Common Control & Configuration of RUs, DUs, and CUs Dynamic vprobe and applied ML Open Interface & APIs

11 Rise of Open Reference Platform Blue-Prints Master Orchestrator [Open Network Automation Platform (ONAP)] Configuration Management Slicing Management Services Edge RU DU/CU CORE RAN CORE Open Tools Cloud.. 5G Applications 5G Services Radio Resource Control Slicing Manager Control Split Architecture Control Applied ML Services Open Reference Platform Virtualized and democratized Unified Open Mobility Resource Manager & Interface (SD-RAN, Fronthaul, SD-CORE) Modular and Disaggregated Virtual RAN Functions: DU, CU RAN Common RAN and CORE Pipeline Time critical operations offloaded to FPGA Disaggregated control from user planes and micro services Common Control & Configuration of RUs, DUs, and CUs Dynamic vprobe and applied ML Open Interface & APIs Context Driven Networking ( Closed feed back loops ) Modular and Disaggregated Mobility CORE Functions CORE. + MEC Source: The Linux Foundation/AT&T

12 Open Source Communities & Standards On-Going Collaboration Efforts X-RAN/ORAN ONAP ONF TIP Etc. Micro-Services Applications Open Source EPC, RAN Open Reference Platforms Non-Open Source EPC, RAN 3GPP IETF IEEE MEC ETSI

13 Open Platforms & Opportunities

14 Adopts Micro-Services with Control as a Service Controller Defines Authoritative State Mediates Trust Enforces Policy/Invariants Activates Data Path SDN Ctrl Ctrl App App CaaS VNF VNF Resources Source; ONF

15 Challenges: Open and Democratized Abstractions Graph abstraction Representing Radio Networks (Multi-RATs) Graph: G = ( N, E, L, B, etc.) or ( nodes, Links, Slices, Beams ) N = set of routers / Radios = { u, v, w, x, y, z } E = set of links ={ (u,v), (u,x), (u,w), (v,x), (v,w), (x,w), (x,y), (w,y), (w,z), (y,z) } L = set of Slices = {sub ((u,v), sub (u,x), sub(u,w), sub(v,x), sub (v,w), sub (x,w), sub(x,y), sub (w,y), sub (w,z), (y,z) } B = set of radio Resources at time T = Associated { u, v, w, x, y, z } Goals: Understand principles behind Abstraction Understand principles behind service Layers & Multi Tenancy Understand principals behind dynamic Analytics & Trigger Functions

16 SD-RAN: Programmable RAN Operation Examples Coordinator of Multi RAT Access technologies RF

17 Example: SD-RAN & Micro Services master Orchestrators Optimization Practices Mobility Policy Carrier Aggregation vran Applications SD-RAN (M-CORD) Radio Resource Abstracted graph Telemetry & Observability X.RAN Open APIs Local RAN Agent Controls Virtualized RAN Micro Services

Adaptive Analytics Service Monitoring Service Closed loop

Monitoring Thresholds Active PM Testing 1) Assurance as a Service

Management Virtual probe 1 2) vran RIC triggers test request for

Device Slice Vehicular Slice CORE VNFs 3) Active Virtual

Agent VM instances - Run TWAMP Perf Monitoring sessions 1 vran

18 Adaptive Analytics Service Monitoring Service Closed loop automation QoS Stop Start 3 Active Test as a Service 4 2 Perf Monitoring Thresholds Active PM Testing 1) Assurance as a Service (Passive) - Feed UP Session Metrics to vran RIC vran Probe Management Virtual probe 1 2) vran RIC triggers test request for connectivity/pm session in an slice Service Slices RAN VNFs IoT Device Slice Vehicular Slice CORE VNFs 3) Active Virtual Measurement Agents - Deploy Mgmt. Agent VM instances - Run TWAMP Perf Monitoring sessions 1 vran Software Platform 3 Anomaly detection & Closed loop automation 2 Model driven Passive Monitoring 4 Active Test as a service

19 Summary Remarks Aggressive spectrum allocations for 5G and beyond will require unified, open and democratized Interfaces. Opening up the interfaces, disaggregating RAN, white box deployment models with coexistence, should be a key focus for open source community and standardization bodies. ORAN could provide coordination and when feasible synchronization of multi vendor and white boxed radio access. Open Source + ML + In-band Radio analytics will play a key role in success of emerging Mobility Solutions.

20 Contact:,

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