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Welcome to the G release page for the O-RAN Software community.

The G release is currently in incubation; initiating the definition of the requirements

        

Non-Real-time RIC (NONRTRIC)

Primary Goals:
  • The primary goal of Non-RT RIC is to support intelligent RAN optimization by providing policy-based guidance, ML model management and enrichment information to the near-RT RIC function so that the RAN can optimize, e.g., RRM under certain conditions.
  • It can also perform intelligent radio resource management function in non-real-time interval (i.e., greater than 1 second).
  • Non-RT RIC can use data analytics and AI/ML training/inference to determine the RAN optimization actions for which it can leverage SMO services such as data collection and provisioning services of the O-RAN nodes.
  • Non-RT-RIC will define and coordinate rApps (Non-RT-RIC applications) to perform Non-RT-RIC tasks.
  • Non-RT-RIC will host the A1 interface (between NONRTRIC & near-RT RICs )
  • Non-RT-RIC will also host the new R1 interface (between rApps and SMO/NONRTRIC services)

G release plan:

Count of Epics (20 issues), User Stories, Tasks, and Issues:  (455 issues)

  • R1 Service Exposure & Management

    • Continue work of Service execution platform extensions (K8s, Istio, Keycloak, OPA, Gateway) to enable service isolation & exposure
    • Extend Release F prototyping of 3GPP CAPIF-aligned Service Exposure Manager function (& API)
  • R1 Data Management & Exposure

    • Align with emerging proposals for R1-DME where possible
    • R1 DME Data Catalog support in NONRTRIC ICS 
    • R1 Data delivery & filtering (kafka & REST)
  • rApp Manager

    • Build on ONAP “Automation Composition” model & platform to implement rApp use cases
    • Demonstrate controlled on-boarding & LCM rApps with & without µService
    • Overlap with Service Exposure work to examine role of an rApp Manager to support controlled exposure & LCM of µService and non-µService parts of an rApp
    • Investigate where parts of rApp executes in KNative environment (e.g. ML model part of an rApp)
  • Continue A1-Policy & A1-Enrichment-Information evolution (& R1-A1)

    • A1 Spec evolution
    • Southbound: A1 Interface
    • Northbound: R1-A1(P) & R1-DME Interfaces
  • Sample use cases (rApps)
    • Requirements Drivers for rApp/R1 development
    • High degree of cross-project integration activity
  • Testing, Maintenance & Housekeeping

    • Function Test & Integration Test environment,
    • Support integration, deployment & configuration of SMO/Non-RT-RIC related functions & usecases in OSC Integration env.
    • Project coordination, Documentation, Delivery, Reporting, Cross-project alignment, Community demos, O-RAN Standardization support, etc.

Wiki: https://wiki.o-ran-sc.org/display/RICNR

Tasks / Backlog: https://jira.o-ran-sc.org/projects/NONRTRIC/issues

Gerrit / Code:

Sonar / Test Coverage Reports

Docs:

Testing:

Weekly Meetings:

Demos:

Near-Real-time RIC X-APPs (RICAPP)

Primary Goals: Expand the community working on open source xApps for O-RAN SC. 

Enhance the set of open source xApps in support of the RSAC use cases (traffic steering, network slicing) as well new use cases.

Update and enhance existing xApps 

G release plan (<date>):

  • New HW-Rust xApp to support RUST framework
  • HW(python) - RIC Subscription using python xApp framework 
  • RC xApp - GRPC interface support on RC xApp
  • Bouncer xApp - RIC Benchmarking new features addition
  • KPIMON-GO xApp – Version 2.0
  • AD & QP xApp – InfluxDB database integration to fetch data.

Jira: Count of Epics, User Stories, Tasks, and Issues:  165 issues

G release highlights/accomplishments (<date>):

G release source code, container images and deployment instructions

Code Coverage Reports : Latest reports can be found at the following Link: Projects - O-RAN Software Community (sonarcloud.io).


Near-Real-time RAN Intelligent Controller Platform (E2 Interface) (RICPLT)

Original primary goals:

  • E2T improvements: Support for E2 Reset procedure (from E2 node to RIC (RIC-386, Dec-4) - only E2 node-side simulator implementation and possibly some part in E2M related to E2 procedure model, but not full E2 reset procedure ; Correct handling of E2 node reconnects and multiple E2 Setups (RIC-932), Support split architecture (CU/DU) in E2T/E2M (RIC-933), test cases of remaining interface types in config update (RIC-911, maybe-Dec-4-subhash), MDC dynamic log level change in E2T and E2M (RIC-814, RIC-813), check existence of SCTP stack during startup (RIC-931)
  • A1: finalize re-implementation of A1 in golang (from python) (RIC-849, RIC-914, Dec-4)
  • Remove support for RMR in E2 subscription interface and only continue with E2 REST subscription interface towards xApps (RIC-375)
    • can be done because last missing xapp-framwork (xapp-frame-cpp) supports REST (RIC-641, RIC-705) . Go and python already support E2 REST subscriptions
  • Subscription delete callback to xApps and subscription cleanup after xApp removal (RIC-928, RIC-929)
  • Support for DMS via REST in addition to command line tool DMSCLI (RIC-714, Dec-4)
  • First version of the xApp framework for Rust (RIC-924)
  • missing test cases for xapp-frame-py (RIC-917),
  • xapp-frame (go) support readiness and liveness state with appmgr/rtmgr (RIC-930)
  • First version of a RIC CLI (RIC-445)
  • ric-dep cleanup (RIC-918)
  • E2 check, validate and define how various overload and disconnect case are handled (RIC-704)
  • Enhancments in A1 mediator testing and in E2 subscription testing via nanobot (RIC-878, RIC-860)
  • Update of influxDB from 1.8→2.2, incl. adaptations in stslgo module (RIC-919)
  • Take go version 1.18 into use in base image (RIC-937)
  • bug fixes: RIC-945 e2term crashes occasionally when gNB is disconnected,RIC-944 PlmnId to mnc conversion wrong, RIC-943 alarm-go rmr routing table init failure, RIC-936 reference to gcr -> ghcr, RIC-935 kube-flannel changed namespace, RIC-934 Upgrade sdlgo Golang version to fix CVE-2022-32189 vulnerability,RIC-920 fix translation of 21/22/23 bit gnb ids to hex in E2T, RIC-939 race condition and out of bounds check in RMR

Achieved G release highlights = high-level release notes (2022-05-18) below (note that the release image list is here: TODO)

  • TODO

For the G release of the near-RT RIC we do only limited integration testing: only the use cases: deploy RIC, deploy xApp and make E2 connection are to be tested.

Filled in end-of-release checklist : Release criteria checklist - TODO

Status 2022-11-22: From the 28 epics planned (link) we implemented 2 (link). 16 items have been moved out of the G release, e.g, because of implementation delays (link). Incomplete items: 10 (link). Additionally we fixed 7 bugs and small implementation tasks (link)

G release source code, container images and deployment instructions

The list of container images for the G release (link).

Operation and Maintenance (OAM)

Primary Goals:

According to the O-RAN-SC-OAM-Architecture document, all ManagedElements (near-real-time-RIC, O-CU-CP, O-CU-UP, O-DU and O-RU) implement the O1-interface.

G release Feature Scope

    • support of O-RAN WG10 VES message bodies
    • update of OAM-Controller to ODL version Sulfur
      • Note: team decided to go with Java11 - Java 17 would be possible but is pushed out to next release.
    • update to keycloak version 18
    • even more secure keycloak configuration
    • there is a request for a "bare-metal" deployment which is not in scope of O-RAN, but still useful - also for development and module test
    • support of AI/ML based on RSAC and other input.
    • support of Tacker team

Please see also project wiki for further details: G-Release

Sprint Demos:

G release source code, container images and deployment instructions (and status)

Jira: Count of Epics ( 15 issues ), User Stories, Tasks, and Issues:  166 issues

Source Code:

Integration:

O-RAN Central Unit (OCU)

Primary Goals:

  • In the absence of O-CU, Radisys commercial CU image to be used for E2E testing

G release Feature Scope

G Release Feature Scope: 

  • Radisys Commercial CU is being used as a test fixture for E2E testing
  • This is containerized CU image with following
    • Release version 2.5.3
    • NG interface with SOCKET mode and veth type
    • F1 interface with SOCKET mode and veth type
    • E2 interface support
    • Software Crypto

PTL: 

G release source code, container images and deployment instructions (and status)

O-DU High

Primary Goals:

O-DU New Feature Development

1. Implementation of Discontinuous Reception (DRX)

2. Aligning all modules and interfaces to the latest specification

3. Mobility mode Support (Inter-CU handover)

Feature verification

1. Closed-Loop Automation

2.16QAM and 64 QAM (Spillover from D release)

End to End Integration support

1.TDD/Mu1/100MHz

2.FDD/Mu0/20MHz * (Spillover from D/E release)

G release Feature Scope

  • DRX support

  • Mobility (Inter-CU handover) support
  • code clean-up and coverage
  • latest specification support for all modules and interfaces (AAD WG8)
  • End to end integration support

PTL: 

Status on  

Implementation of Discontinuous Reception (DRX)

Status: Testing

https://jira.o-ran-sc.org/browse/ODUHIGH-462

Alignment to latest ORAN WG8 AAD specification

Status: Testing

https://jira.o-ran-sc.org/browse/ODUHIGH-464

Testing of odu-high along with intel l1 in different labs

Status: Broadcast message till odu-low

https://jira.o-ran-sc.org/browse/ODUHIGH-475


G release source code, container images and deployment instructions (and status)

TBD

Simulators (SIM)

Primary Goals:

  • Keep alignment with latest O-RAN specifications (O1, E2)

G Feature Scope / Achievements:

  • keep alignment of the O1 Simulator with latest YANG models
  • E2 Simulator improvements (especially to the deployment/build procedures)
  • NS3-E2 Simulator integration in Gerrit

Sprint Demos:

Jira: Count of Epics, User Stories, Tasks, and Issues:  5 issues

G release source code, container images and deployment instructions

Source code: TODO

Container images are described here: TODO

Instructions:TODO

Code coverage: in progress (sonar for C/C++ code in LF repos)

Service Management and Orchestration Layer (SMO)

Primary Goals:

The SMO acts as an uber identity that overlooks the different aspects of the O-RAN deployment. Starting with how solutions are deployed, to how they interact with each other, to how they are managed.

G release Feature Scope

The focus for the G release in SMO is interoperability. Every sub-project within SMO has at least one item that focuses on interoperating with one other entity outside of SMO. For example,

  • On the O1 interface, the focus is on trying to bring-up O-DU using NETCONF and YANG models defined for O-DU.
  • On the O1/VES interface, it is ability to generate network slicing PM events in the O-DU, and the ability to receive them in SMO dashboard, and store them in InfluxdB.
  • On the O2 interface, it will be the ability to instantiate an instance of a Network Function (NF) like the O-DU in the O-Cloud.

Separate from this, each sub-project within SMO has other features/capabilities it will address as part of the G-release. For details please refer to the minutes of the SMO meeting here.


PTL: Mahesh Jethanandani

G release source code, container images and deployment instructions (and status)

G release source code for SMO can be found in the following repositories

The container images for SMO when G-release is finally available will be found here (for now the images might point to the F-release).

The installation instructions for SMO can be found in the documentation page here.

Status

The status of the SMO project is tracked using Jira items. For the latest status refer to the items below.

 

Key Summary T Created Updated Due Assignee Reporter P Status Resolution
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Infrastructure (INF)

Primary Goals: 

  • Implement the O-Cloud reference design, provide the real time performance to allow the O-DU and other components running on top of it.
  • Provide interaction capabilities with other components.

G release Feature Scope:  

  • Extend MultiOS support: add Debian as the base OS
  • Enable the multiple deployment scenarios for Debian based image:
    • AIO-SX, AIO-DX, AIO-DX + workers,  standard, Distributed Cloud
  • Align INF O2 implementation to the latest O2 spec.

G release highlights/accomplishments ( ):

  • Extend MultiOS support: add Debian as the base OS
  • Enable the multiple deployment scenarios for Debian based image
  • Verified sample application deployment
  • Align INF O2 implementation to the latest O2 spec

Jira: Status of Epics, User Stories, Tasks, and Issues:

Update at  

  • EPICs:

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  • Stories:

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  •  Tasks:

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  •  Bugs:

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Test status:

Code coverage:

Release Note:

G release source code, images and deployment instructions


Integration and Test (INT)

Primary Goals: To support OSC project CI pipeline. To test and validate the components and use cases

G Feature Scope / Achievements:

  • To set up test automation with the XTesting framework that can run at release time to verify features and integration (an XTesting work flow demo can be found here)
  • Work with OSC open labs (US east coast, US west coast, Asia Pacific) to facilitate community testing. Latest status on the 3 labs are available here
  • Explore the POWDER testbed for OSC integration test needs: a POWDER account was created that serves as an umbrella project for the OSC community. Multiple profiles were added for automated RIC platform deployment and automated testing.

PTL: James Li

G release source code, container images and deployment instructions

N/A

AIML Framework (AIMLFW)

Primary Goals:

  • Stand alone installation (separated from existing platform deployment) and initial AIML workflow modules

G Feature Scope / Achievements:

  • Stand alone installation with Kubeflow as a Training host backend and Kserve as a Inference host backend
  • Initial Training Job Management ( Data extraction / feature management)
  • Sample ML pipeline and ML xApp : QoE Prediction model using LSTM with data from ricapp/qp

G release source code, container images and deployment instructions

Source code: Gerrit links to the repositories are mentioned below

Container images are described here: 

Instructions: TODO

Code coverage: TODO

Wiki: https://wiki.o-ran-sc.org/display/AIMLFEW

Tasks / Backlog: https://jira.o-ran-sc.org/projects/AIMLFW/issues

Gerrit / Code:

aiml-fw/awmf/tm:  Training Manager : Training job and model management

aiml-fw/athp/tps/kubeflow-adapter: Adapter for Kubeflow

aiml-fw/athp/sdk/model-storage: Sdk for accessing Model storage

aiml-fw/athp/sdk/feature-store: Sdk for accessing Feature store

aiml-fw/athp/data-extraction: Retrieving features for training from Data lake

aiml-fw/aimlfw-dep: Deployment scripts aiml workflow 

portal/aiml-dashboard: GUI for AIML Workflow

ric-app/qp-aimlfw: Sample ML Assist xApp for QoE prediction


JIRA Status

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AIMLFW-6 - Getting issue details... STATUS


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