X-Git-Url: https://gerrit.o-ran-sc.org/r/gitweb?a=blobdiff_plain;f=docs%2Foverview.rst;h=a0588fddd8d1083fbed6fcd48f990ec4ed3314f3;hb=refs%2Fheads%2Fh-release;hp=5bbda81748d51b7ba027f15e34d21a358459424f;hpb=063d7f597bc5942f8a146cbbbd9473a013a6f202;p=ric-app%2Fad.git

diff --git a/docs/overview.rst b/docs/overview.rst
index 5bbda81..a0588fd 100644
--- a/docs/overview.rst
+++ b/docs/overview.rst
@@ -1,48 +1,43 @@
-# ==================================================================================
-#  Copyright (c) 2020 HCL Technologies Limited.
-#
-#  Licensed under the Apache License, Version 2.0 (the "License");
-#  you may not use this file except in compliance with the License.
-#  You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-#  Unless required by applicable law or agreed to in writing, software
-#  distributed under the License is distributed on an "AS IS" BASIS,
-#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#  See the License for the specific language governing permissions and
-#  limitations under the License.
-# ==================================================================================
-
 
 Anomaly Detection Overview
 ==========================
 
 Anomaly Detection (AD) is an Xapp in the Traffic Steering O-RAN use case,
-which uses the following Xapps:
+which perfrom the following tasks:
 
-#. AD, which iterates per second, fetches UE data from .csv files and send prediction to Traffic Steering
+#. Data will be inserted into influxDB when xApp starts. This will be removed in Future when data will be coming via KPIMON to influxDB.
+#. AD, which iterates per 10 mili-second, fetches UE information from databse and send prediction to Traffic Steering
 #. Traffic Steering send acknowldgement back to AD.
 
 Expected Input
 --------------
 
-The AD Xapp expects a prediction-input in following structure:
-
-UEPDCPBytesDL  UEPDCPBytesUL  UEPRBUsageDL  UEPRBUsageUL  S_RSRP  S_RSRQ  S_SINR  N1_RSRP  N1_RSRQ  N1_SINR  N2_RSRP  N2_RSRQ  N2_SINR  UEID  ServingCellID     N1      N2      MeasTimestampRF
+The AD Xapp expects input in following structure:
 
-  300000         123000 	  25		10	   -43     -3.4     25	    -5	    -6.4      20       -68	-9.4      17	12345	  555011      555010   555012       30:17.8
-	
+  {
+  'du-id' : 1003,
+  'nrCellIdentity' : "c3/B13",
+  'prb_usage' : 23.0, 
+  'rsrp' : 84.0, 
+  'rsrq' : 65.0, 
+  'rssinr':65.0,
+  'targetTput' : 0.1, 
+  'throughput' : , 
+  'ue-id' : "Waiting passenger 1", 
+  'x' : -556, 
+  'y' : -1160, 
+  'measTimeStampRf' : "2021-05-12T07:43:51.652" 
+  }
 
 Expected Output
 ---------------
 
-The AD Xapp should send a prediction for Anomulous UEID along with timestamp
+The AD Xapp should Detect Anomulous UE's and send those UE's information
 as a JSON message via RMR with the following structure:
 
   {
-  "UEID" : 12371,
-  "MeasTimestampRF" : "2020-11-17 16:14:25.140140"
+  'ue-id' : "Waiting passenger 1",
+  'measTimeStampRf' : "2021-05-12T07:43:51.652",
+  'du-id' : 1003,
+  'Degradation': "RSRP RSSINR"
   }
-
-