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Anomaly Detection (AD), QoE Predictor (QP) and Traffic Steering xApp's are three components in Traffic steering Anomaly Detection use case in Near RT RIC platform. AD xApp aims to detect anomalous UE's present in network. It communicates with Traffic Steering xApp via RMR and send Anomalous UE's information to TS. TS request QP xApp to predict throughput on given anomalous UE list. QP xApp use Machine learning algorithm to predict throughput for a UE in given cell and send that to TS. TS xApp collaborate with AD and QP to gain knowledge on current and neighboring cells and performs a handover to a cell having maximum throughput(if needed).
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QP : echo '{"config-file.json_url": "https://gerrit.o-ran-sc.org/r/gitweb?p=ric-app/tsqp.git;a=blob_plain;f=xapp-descriptor/config.json;hb=HEAD" }' > onboard.qp.url
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- All three xApp's needs to be deployed in following sequence AD→ TS→ QP for end to end testing of TS AD use case
- Names of the xApp to be deployed must match with what the on-boarder has
- AD uses message types TS_ANOMALY_UPDATE to send anomalous UE's and TS_ANOMALY_ACK for acknowledgment from TS on receiving same message successfully
- QP send UEPredicitonSet message to TS and expects predicted throughput message callback
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