X-Git-Url: https://gerrit.o-ran-sc.org/r/gitweb?a=blobdiff_plain;f=docs%2Foverview.rst;fp=docs%2Foverview.rst;h=bb89b06d938bdec0b558f3749e5f4c387b4fa223;hb=a1cb1abac5f5979f507b6760f0862c38c3ba2347;hp=736fffe70dac5fc9792d9a86bc3296f35b7d4258;hpb=cd32fb9b8f63431086809c542b6dab26c8ea09b1;p=ric-app%2Fqp.git

diff --git a/docs/overview.rst b/docs/overview.rst
index 736fffe..bb89b06 100644
--- a/docs/overview.rst
+++ b/docs/overview.rst
@@ -1,6 +1,7 @@
 .. This work is licensed under a Creative Commons Attribution 4.0 International License.
 .. SPDX-License-Identifier: CC-BY-4.0
 .. Copyright (C) 2020 AT&T Intellectual Property
+.. Copyright (C) 2021 HCL Technologies Limited.
 
 QoE Predictor Overview
 ======================
@@ -8,89 +9,15 @@ QoE Predictor Overview
 QoE Predictor (QP) is an Xapp in the Traffic Steering O-RAN use case,
 which uses the following Xapps:
 
-#. Traffic Steering, which sends prediction requests to QP Driver.
-#. QP Driver, which fetches data from SDL on behalf of traffic steering,
-   both UE Data and Cell Data, merges that data together, then sends off 
-   the data to the QoE Predictor.
+#. Traffic Steering, which sends prediction requests to QP.
 #. QoE Predictor, which predicts and sends that prediction back to Traffic Steering
-#. KPIMONN, which populates SDL in the first place.
+#. KPIMONN, which populates UE and Cell metrics into the influxdb.
 
 Expected Input
 --------------
 
 The QP Xapp expects a prediction-request JSON message via RMR with the following structure::
-
-  {
-    "predictionUE": "UEId1",
-    "ueMeasurements" :
-      { "servingCellId" : "CID2",
-        "measTimestampUePrbUsage" : TS1,
-        "measPeriodUePrbUsage" : Int,
-        "uePrbUsageDL" : Int,
-        "uePrbUsageUL" : Int,
-        "measTimestampUePdcpBytes" : TS2,
-        "measPeriodUePdcpByes" : Int,
-        "uePdcpBytesDL": Int,
-        "uePdcpBytesUL" : Int
-      },
-    "cellMeasurements" : [
-      {
-        "cellId" : "CID2",
-        "measTimestampPrbAvailable" : TS,
-        "measPeriodPrbAvailable" : Int,
-        "prbAvailableDL" : Int,
-        "prbAvailableUL" : Int,
-        "measTimestampPdcpBytes" : TS,
-        "measPeriodPdcpBytes" : Int,
-        "pdcpBytesDL" : 30000000,
-        "pdcpBytesUL" : 5000000,
-        "measTimestampRf" : TS,
-        "measPeriodRf" : Int,
-        "rfMeasurements" : {
-          "rsrp": Int,
-          "rsrq": Int,
-          "rsSinr": Int
-       }
-     },
-     {
-       "cellId" : "CID1",
-       "measTimestampPrbAvailable" : TS,
-       "measPeriodPrbAvailable" : Int,
-       "prbAvailableDL" : Int,
-       "prbAvailableUL" : Int,
-       "measTimestampPdcpBytes" : TS,
-       "measPeriodPdcpBytes" : Int,
-       "pdcpBytesDL" : 10000000,
-       "pdcpBytesUL" : 2000000,
-       "measTimestampRf" : TS,
-       "measPeriodRf" : Int,
-       "rfMeasurements" : {
-         "rsrp": Int,
-         "rsrq": Int,
-         "rsSinr": Int
-       }
-     },
-     {
-       "cellId" : "CID3",
-       "measTimestampPrbAvailable" : TS,
-       "measPeriodPrbAvailable" : Int,
-       "prbAvailableDL" : Int,
-       "prbAvailableUL" : Int,
-       "measTimestampPdcpBytes" : TS,
-       "measPeriodPdcpBytes" : Int,
-       "pdcpBytesDL" : 50000000,
-       "pdcpBytesUL" : 4000000,
-       "measTimestampRf" : TS,
-       "measPeriodRf" : Int,
-       "rfMeasurements" : {
-         "rsrp": Int,
-         "rsrq": Int,
-         "rsSinr": Int
-       }
-     }
-    ]
-  }
-
+{"UEPredictionSet": ["Car-1"]}
 
 Expected Output
 ---------------
@@ -98,12 +25,10 @@ Expected Output
 The QP Xapp should send a prediction for both downlink and uplink throughput
 as a JSON message via RMR with the following structure::
 
-  {
-    "UEId1": {
-      "CID1" : [10000000,2000000],
-      "CID2" : [30000000,5000000],
-      "CID3" : [50000000,4000000]
-    }
-  }
-
-
+ {"Car-1":{
+ "c6/B2": [12650, 12721],
+ "c6/N77": [12663, 12739],
+ "c1/B13": [12576, 12655],
+ "c7/B13": [12649, 12697],
+ "c5/B13": [12592, 12688]
+ }}