...
- Configure four E2E Slices (shared or non-shared)
- Trigger PM data generation for those slices using the below RAN Simulator API
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curl -X POST -H "Content-Type: text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i |
3. Run the ML model against the generated PM data and check whether it works as expected
4. When it is not required, stop the pm data generation as it produces huge amount of data that consumes more space.
| Code Block |
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curl -X POST -H "Content-Type: text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -i |
Step3: Prediction
Trained ML model is now ready to predict and recommend suggestions for the cell level configurations (maxNumberOfConns) for a slice.
This model can be used fed as an input to the Acumos adapter and the microservice can be generated. This microservice is onboarded to DCAE via DCAE MOD and can be made available for future predictions.