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JohnKeeney01ea4be2021-05-26 19:32:47 +01001.. This work is licensed under a Creative Commons Attribution 4.0 International License.
2.. SPDX-License-Identifier: CC-BY-4.0
JohnKeeneyb2bc53f2021-12-13 13:00:43 +00003.. Copyright (C) 2021 Nordix
JohnKeeney01ea4be2021-05-26 19:32:47 +01004
5Requirements for the Non-RT RIC project
6=======================================
7
8Find detailed description of what Non-RT RIC is on this `page`_.
9
10.. _page: https://wiki.o-ran-sc.org/display/RICNR/
11
JohnKeeneyc621b962021-12-14 21:47:39 +000012The NONRTRIC project (and the O-RAN Non-RealTime RIC function) can be considered from a number of different viewpoints. This page presents some of these views:
JohnKeeney01ea4be2021-05-26 19:32:47 +010013
JohnKeeneyc621b962021-12-14 21:47:39 +000014**Scope 1: A1 Controller (Mediator, Endpoint)**
JohnKeeney01ea4be2021-05-26 19:32:47 +010015
JohnKeeneyc621b962021-12-14 21:47:39 +000016* Southbound: Provide termination point for A1 interface(s) - REST endpoint for messages to/from Near-RealTime RIC
17* Northbound: Provide a more generic interface for A1 operations - provide interface to rApps, without the need for A1 message generation, addressing, coordination, mediation, etc.
18* O1 interfaces do not terminate in NONRTRIC function (but may terminate in same controller host/instance)
JohnKeeney01ea4be2021-05-26 19:32:47 +010019
JohnKeeneyc621b962021-12-14 21:47:39 +000020**Scope 2: Coordinate/Host A1 Policy Management Services**
JohnKeeney01ea4be2021-05-26 19:32:47 +010021
JohnKeeneyc621b962021-12-14 21:47:39 +000022* Map high level RAN goal/intent directives to finely-scoped A1 Policies towards individual Near-RT RIC instances
23* Informed by observed RAN context (provided over O1 via OAM functions), and other external context (via other SMO functions)
24* Dynamically coordinate life cycles of A1 Policies in individual Near-RT RICs as contexts change
JohnKeeney01ea4be2021-05-26 19:32:47 +010025
JohnKeeneyc621b962021-12-14 21:47:39 +000026**Scope 3: Coordinate ML/AI Models - In RAN (“E2 nodes & Near-RT RICs) and NONRTRIC (future)**
27
28* Acts as model-training host
29* May act as model-inference host (others: Near-RT RICs, E2 nodes”)
30* Dynamically coordinate ML/AI model lifecycle management (e.g. re-train, re-deploy, etc)
31* Models are (always?) deployed over O1 interface
32
33**Scope 4: Enrichment Data Coordinator**
34
35* Additional context that is unavailable to Near-RT RICs (e.g. RAN data, SMO context, External context)
36* Dynamically coordinate access and pass data to appropriate Near-RT RICs (e.g. for use in ML/AI model inference)
37
38**Scope 5: rApp Host & rApp Coordinator**
39
40* rApps may act as, or form part of, NONRTRIC- or SMO-level applications
41* rApps, via rApp host function, may consume many other services - some from the NONRTRIC platform, some from the SMO platform, and some from other rApps
42* Dynamically coordinate rApp lifecycle management
43
44**Scope 6: Provide R1 interface for rApps**
45
46* rApps may only consume services over the R1 interface (from NONRTRIC platform, or from SMO platform, or from other rApps)
47* Platform services and services optionally provided by rApps must be exposed over the R1 Interface
48* These services may be "standardized" R1 services or R1 extensions (some may be proprietary)