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-rw-r--r--docs/docs_intent_based_network.rst79
-rw-r--r--docs/platform/images/csmf-management.pngbin687005 -> 772492 bytes
-rw-r--r--docs/platform/installation/user-guide/uui-guide.rst5
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diff --git a/docs/docs_intent_based_network.rst b/docs/docs_intent_based_network.rst
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@@ -0,0 +1,79 @@
+.. contents::
+ :depth: 3
+..
+.. _docs_intent_based_network:
+
+
+Intent Based Network
+=============================
+
+Overall Blueprint
+-----------------
+Intent-based network (IBN) is a self-driving network that uses decoupling
+network control logic and closed-loop orchestration techniques to automate
+application intents. An IBN is an intelligent network, which can automatically
+convert, verify, deploy, configure, and optimize itself to achieve target
+network state according to the intent of the operators, and can automatically
+solve abnormal events to ensure the network reliability.
+
+REQ-453 Smart Operator Intent Translation in UUI based on IBN - R8 5G Slicing Support
+In R8, the smart operator intent translation function is proposed to support
+the 5G slicing selection of current E2E usecase in UUI.
+The target architecture of the Intent-Based Network is divided into a Intent
+orchestration layer (hereinafter referred to as the Intent layer), a control
+layer and a network layer.
+
+
+Abbreviations
+-------------
+
++---------------+--------------------------------------------+
+| Abbreviation | Meaning |
++===============+============================================+
+| IBN | Intent Based Network |
++---------------+--------------------------------------------+
+
+
+
+Scope of Honolulu release
+-----------------------
+The scope for Honolulu developed in UUI includes GUI, UUI-server, and NLP.
+
+GUI
+- Services
+- 5G Slicing Management
+- Package Management
+- NLP Model resource
+
+Server
+- Intent Management Module
+
+NLP Server
+(new Micro-service)
+Three NLP algorithms are considered to be applied in current solutions:
+- BERT (Bidirectional Encoder Representations from Transformers):developed by researchers at Google AI Language. It has caused a stir in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks. BERT’s key technical innovation is applying the bidirectional training of Transformer, a popular attention model, to language modelling.
+
+
+
+Impacted Modules for Honolulu
+---------------------------
+
+U-UI
+~~~~
+Target of R8: translate from the human inputs to the slice parameters based on NLP
+in UUI, and then run the slices based on the current ONAP.
+
+A new page is required in the UUI that users can enter network requirements through
+the natural language, which then sends the user input to the IBN component and displays
+the response information to the user. This process can be repeated several times
+until the dialog completes and a new Intent is formed in the IBN component.
+
+
+
+Functional Test Cases
+---------------------
+
+
+
+Operation Guidance
+------------------
diff --git a/docs/platform/images/csmf-management.png b/docs/platform/images/csmf-management.png
index 5d78f19c..fc24632d 100644
--- a/docs/platform/images/csmf-management.png
+++ b/docs/platform/images/csmf-management.png
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diff --git a/docs/platform/installation/user-guide/uui-guide.rst b/docs/platform/installation/user-guide/uui-guide.rst
index 2df95435..c1569e7a 100644
--- a/docs/platform/installation/user-guide/uui-guide.rst
+++ b/docs/platform/installation/user-guide/uui-guide.rst
@@ -68,7 +68,10 @@ https://wiki.onap.org/display/DW/UUI
* 5G Slicing Management
This module consists of two parts.
-The first part is CSMF component which provides the functions of creating network slicing and displaying the created slicing. Also, customers can use this page to activate, deactivate and terminate the slcing.
+The first part is CSMF component which provides the functions of creating network slicing and displaying the created slicing. Also, customers can use this page to activate, deactivate and terminate the slicing.
+In Honolulu Release, the coverageArea number param is added. Users could input the grid numbers to specify the area where they want the slicing service to cover. For Coverage Area Number, please enter the rectangle grid numbers corresponding to the physical coverage areas on the sample image shown on GUI.
+
+Note: The sample image file is named as 'coverageAreaMap.png' and it is stored in the frontend project of usecase-ui: ``usecase-ui\usecaseui-portal\src\assets\images\coverageAreaMap.png``. If the map of a different region is required, you can replace the sample image with the same name in the frontend project. And you also need to re-release the frontend project docker container.
|CSMF Management Page|