- Created by Ahila P, last modified on Jan 16, 2022
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Refer Intelligent Slicing flow for complete closed loop sequence.
Overview
- DCAE - VES Collector receives the file ready events from RAN Simulator and the PM file is fetched from SFTP by Data File Collector (DFC). (Not shown in this picture)
- PM Mapper collects this PM file, generates PM events and ML Block receives the PM data from PM mapper.
- ML MS before applying the recommendation, it checks with AAI whether the intent is satisfied and the closed loop is triggered.
[
"{\"event\": {\"commonEventHeader\": {\"domain\": \"perf3gpp\",\"eventId\": \"2ff40cb0-377b-49f6-acea-5c7893e53f07\",\"sequence\": 0,\"eventName\": \"perf3gpp_AcmeNode-Acme_pmMeasResult\",\"sourceName\": \"oteNB5309\",\"reportingEntityName\": \"\",\"priority\": \"Normal\",\"startEpochMicrosec\": 1602686360469,\"lastEpochMicrosec\": 1602686360474,\"version\": \"4.0\",\"vesEventListenerVersion\": \"7.1\",\"timeZoneOffset\": \"UTC+05:00\"},\"perf3gppFields\": {\"perf3gppFieldsVersion\": \"1.0\",\"measDataCollection\": {\"granularityPeriod\": 1602686360473,\"measuredEntityUserName\": \"\",\"measuredEntityDn\": \"cucpserver1\",\"measuredEntitySoftwareVersion\": \"r0.1\",\"measInfoList\": [{\"measInfoId\": {\"sMeasInfoId\": \"measInfoIsVal\"},\"measTypes\": {\"sMeasTypesList\":[\"SM.PDUSessionSetupReq.0011-0010\",\"SM.PDUSessionSetupSucc.0011-0010\",\"SM.PDUSessionSetupFail.0\",\"SM.PDUSessionSetupReq.0010-1110\",\"SM.PDUSessionSetupSucc.0010-1110\"]},\"measValuesList\": [{\"measObjInstId\": \"113025289\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"4364\"},{\"p\": 5,\"sValue\": \"2739\"},{\"p\": 3,\"sValue\": \"1517\"}]},{\"measObjInstId\": \"113025290\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"4742\"},{\"p\": 5,\"sValue\": \"3184\"},{\"p\": 3,\"sValue\": \"1459\"}]},{\"measObjInstId\": \"113025296\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"5264\"},{\"p\": 5,\"sValue\": \"3545\"},{\"p\": 3,\"sValue\": \"1629\"}]},{\"measObjInstId\": \"82268687\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"6952\"},{\"p\": 5,\"sValue\": \"4337\"},{\"p\": 3,\"sValue\": \"2363\"}]},{\"measObjInstId\": \"82268689\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"4229\"},{\"p\": 5,\"sValue\": \"3021\"},{\"p\": 3,\"sValue\": \"1135\"}]},{\"measObjInstId\": \"95697155\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"4364\"},{\"p\": 5,\"sValue\": \"3201\"},{\"p\": 3,\"sValue\": \"1054\"}]},{\"measObjInstId\": \"95697174\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 4,\"sValue\": \"7041\"},{\"p\": 5,\"sValue\": \"4229\"},{\"p\": 3,\"sValue\": \"2599\"}]},{\"measObjInstId\": \"95697175\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"3502\"},{\"p\": 2,\"sValue\": \"2598\"},{\"p\": 3,\"sValue\": \"851\"}]},{\"measObjInstId\": \"95697176\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"4858\"},{\"p\": 2,\"sValue\": \"3430\"},{\"p\": 3,\"sValue\": \"1295\"}]},{\"measObjInstId\": \"103597825\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"5134\"},{\"p\": 2,\"sValue\": \"3135\"},{\"p\": 3,\"sValue\": \"1847\"}]},{\"measObjInstId\": \"103597826\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"4773\"},{\"p\": 2,\"sValue\": \"3007\"},{\"p\": 3,\"sValue\": \"1650\"}]},{\"measObjInstId\": \"84327425\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"4573\"},{\"p\": 2,\"sValue\": \"3347\"},{\"p\": 3,\"sValue\": \"1111\"}]},{\"measObjInstId\": \"84327426\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"4316\"},{\"p\": 2,\"sValue\": \"3126\"},{\"p\": 3,\"sValue\": \"1102\"}]},{\"measObjInstId\": \"103593999\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"5314\"},{\"p\": 2,\"sValue\": \"3271\"},{\"p\": 3,\"sValue\": \"1860\"}]},{\"measObjInstId\": \"103594000\",\"suspectFlag\": \"false\",\"measResults\": [{\"p\": 1,\"sValue\": \"5037\"},{\"p\": 2,\"sValue\": \"3732\"},{\"p\": 3,\"sValue\": \"1193\"}]}]}]}}}}"
]
Step1: ML Offline Training
This step requires a huge amount of historical data for the analysis. Currently, RAN Simulator exposes an API to generate the PM data (xml file) and stored in SFTP. The ML training block can fetch the files from SFTP and use it for training.
PM file format
<?xml version="1.0" encoding="UTF-8"?>
<measCollecFile xmlns="http://www.3gpp.org/ftp/specs/archive/32_series/32.435#measCollec">
<fileHeader dnPrefix="Prefix" fileFormatVersion="32.435 V10.0" vendorName="Acme Ltd">
<fileSender localDn="cucpserver1"/>
<measCollec beginTime="2020-10-14T14:39:20.469"/>
</fileHeader>
<measData>
<managedElement localDn="cucpserver1" swVersion="r0.1"/>
<measInfo measInfoId="measInfoIsVal">
<job jobId="1118"/>
<granPeriod duration="PT900S" endTime="2020-10-14T14:39:20.473"/>
<repPeriod duration="PT900S"/>
<measType p="1">SM.PDUSessionSetupReq.0011-0010</measType>
<measType p="2">SM.PDUSessionSetupSucc.0011-0010</measType>
<measType p="3">SM.PDUSessionSetupFail.0</measType>
<measType p="4">SM.PDUSessionSetupReq.0010-1110</measType>
<measType p="5">SM.PDUSessionSetupSucc.0010-1110</measType>
<measValue measObjLdn="113025289">
<r p="4">4364.0</r>
<r p="5">2739.0</r>
<r p="3">1517.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="113025290">
<r p="4">4742.0</r>
<r p="5">3184.0</r>
<r p="3">1459.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="113025296">
<r p="4">5264.0</r>
<r p="5">3545.0</r>
<r p="3">1629.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="82268687">
<r p="4">6952.0</r>
<r p="5">4337.0</r>
<r p="3">2363</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="82268689">
<r p="4">4229.0</r>
<r p="5">3021.0</r>
<r p="3">1135.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="95697155">
<r p="4">4364.0</r>
<r p="5">3201.0</r>
<r p="3">1054.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="95697174">
<r p="4">7041.0</r>
<r p="5">4229.0</r>
<r p="3">2599.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="95697175">
<r p="1">3502.0</r>
<r p="2">2598.0</r>
<r p="3">851.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="95697176">
<r p="1">4858.0</r>
<r p="2">3430.0</r>
<r p="3">1295.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="103597825">
<r p="1">5134.0</r>
<r p="2">3135.0</r>
<r p="3">1847.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="103597826">
<r p="1">4773.0</r>
<r p="2">3007.0</r>
<r p="3">1650.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="84327425">
<r p="1">4573.0</r>
<r p="2">3347.0</r>
<r p="3">1111.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="84327426">
<r p="1">4316.0</r>
<r p="2">3126.0</r>
<r p="3">1102.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="103593999">
<r p="1">5314.0</r>
<r p="2">3271.0</r>
<r p="3">1860.0</r>
<suspect>false</suspect>
</measValue>
<measValue measObjLdn="103594000">
<r p="1">5037.0</r>
<r p="2">3732.0</r>
<r p="3">1193.0</r>
<suspect>false</suspect>
</measValue>
</measInfo>
</measData>
<fileFooter>
<measCollec endTime="2020-10-14T14:39:20.474"/>
</fileFooter>
</measCollecFile>
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