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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 R-SAC use cases (traffic steering, health check, life cycle management) as well new use cases. Update and enhance existing xApps to take advantage of the new features in xApp SDK (implemented by the xApp frameworks in C++, go, and python).

D release highlights (12-08-20):

  • Expanded set of xApps from expanded community: Cherry release includes xApps from AT&T (TS, QP-D, QP, HW, MC), Samsung (KPIMON), and HCL (AD).

PTL: Matti Hiltunen

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

Status (5-25-21): 

D Release status

  • New xApps:
    • Bouncer xApp (HCL, C++): RIC performance measurement xApp - in conjunction with the appropriate E2 Sim, can test E2 control loop latency (INSERT-CONTROL) as well as the scalability of the RIC with regard to the number of E2 Nodes supported.
    • LP (Load Prediction, ChinaMobile, python): Initial version of a cell load predictor.
    • HW-P (Hello World - Python, Samsung): A python based demo xApp that demonstrates how an xApp can use the RIC platform features in python.
    • HW-G (Hello World - go, Samsung): A go-based demo xApp that demonstrates how an xApp can use the RIC platform features in go.
  • Improved xApps:
    • AD (Anomaly Detection, HCL, python): A ML-based real-time anomaly detection using KPI data populated in inFlux DB.
    • KPIMON (Samsung, go): Improved version implements E2 SM KPM 2.0.3 version and stored collected data in time series DB (inFlux)
    • QP (QuE Predictor, HCL, python): A ML-based predictor of UE's throughput if it was handed over to a neighboring cell. The D release version finally uses a ML-trained prediction model and includes the functionality previously provided as a separate QP-driver xApp.
    • TS (TRaffic Traffic Steering, U. ParanaUTFPR, C++): Extended version of the TS xApp that now receives anomaly detection messages, requests QoE prediction, and issue control operation to request a UE handover.
  • Together, AD, QP, and TS xApps and Viavi E2 Tester, implement a use case where anomaly detection is combined with QoE prediction and traffic steering action to move the affected UEs to a different cell.


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