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O-RAN Central Unit (OCU)

Primary Goals:

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

H release Feature Scope

H Release Feature Scope: 

  • TODO

PTL: 

TODO-deployment instructions (and status)


O-DU High

Primary Goals:

1. Alignment to the ORAN WG8 AAD specification O

-DU New Feature Development

1. TODO

Feature verification

1. TODO

End to End Integration support

1.TODO

-RAN.WG8.AAD-v07.00

2. New design with multi-scheduler algorithm support

3. Inter CU Handover

4. E2 interface enhancement

5. End-to-end integration 

H release Feature Scope

H release Feature Scope

TODO

PTL:  Ankit Barve 

Status on  

TODO

 

H release highlights/accomplishments ( ):

  • TODO

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

source code: https://gerrit.o-ran-sc.org/r/gitweb?p=o-du%2Fl2.git;a=shortlog;h=refs%2Fheads%2Fh-release
Release notes: https://docs.o-ran-sc.org/projects/o-ran-sc-o-du-l2/en/latest/release-notes.html#h-release
Document: https://docs.o-ran-sc.org/projects/o-ran-sc-o-du-l2/en/latest/
Code coverage: TODONA (Unit test framework not available)


O-DU Low

Primary Goals:

TODO

H release Feature Scope

TODO

PTL:  Luis Farias , Alternate: @Chenxi Yue

H release highlights/accomplishments ( ):

TODO

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

source code: https://gerrit.o-ran-sc.org/r/gitweb?p=o-du%2Fphy.git;a=summary 
Release notes: https://docs.o-ran-sc.org/projects/o-ran-sc-o-du-phy/en/latest/release-notes.html
Document: https://docs.o-ran-sc.org/en/latest/projects.html#o-ran-distributed-unit-low-layers-odulow
Code coverage: To be planned as UT framework is not available to provide code coverage.

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AIML Framework (AIMLFW)

Primary Goals:

  • Integrated installation (still discussing)

G H Feature Scope / Achievements: (still discussing)

  • DME Integration with AIML FW
    • Discuss about the R1 interface, DME related demo in Non-RT RIC project
    • Need to install DME available in g-release and check how it works.
    • Integration plan based on the existing implementation.

  • Training pipeline Enhancement

    • Add sample pipelines by default, reducing user effort

    • Simplify the process of adding new training pipeline (reducing the amount of code written by user)

    • Implementation plan

  • Integrated installation

    • Integrate with SMO Influx DB 
    • Plan to install as part of SMO first
  • Kserve adapter

    • Implementation plan for deploying models in Near-RT RIC/Non-RT RIC

    • Need to define how to integrate DMS Cli and Management Func. 

Sprint Demo

JIRA

H release highlights/accomplishments (<Date> ):

  • TODO

H release source code, container images and deployment instructions

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


Container images are described here: 

  • TODO

Installation Instructions: 

  • TODO

Code coverage: 

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-tps-kubeflow-adapter

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-feature-store

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-model-storage

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-data-extraction

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-awmf-tm



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