Content for TR 28.838 Word version: 18.0.0
1 Scope
2 References
3 Definitions of terms, symbols, and abbreviations
3.1 Terms
3.2 Symbols
3.3 Abbreviations
4 Concepts and overview
4.1 Overview
4.2 Concept
...
...
1 Scope p. 6
The present document contains the concept, use cases, requirements, and potential solutions for collecting the measurement data to support AI/ML enabled RAN with the AI/ML functions residing in OAM.
2 References p. 6
The following documents contain provisions which, through reference in this text, constitute provisions of the present document.
- References are either specific (identified by date of publication, edition number, version number, etc.) or non-specific.
- For a specific reference, subsequent revisions do not apply.
- For a non-specific reference, the latest version applies. In the case of a reference to a 3GPP document (including a GSM document), a non-specific reference implicitly refers to the latest version of that document in the same Release as the present document.
[1]
TR 21.905: "Vocabulary for 3GPP Specifications".
[2]
TR 37.817: "Study on enhancement for data collection for NR and ENDC".
[3]
TS 28.541: "Management and orchestration; 5G Network Resource Model (NRM); Stage 2 and stage 3".
[4]
TS 38.331: "NR; Radio Resource Control (RRC); Protocol specification".
[5]
TS 28.550: "Management and orchestration; Performance assurance".
[6]
TS 28.532: "Management and orchestration; Generic management services".
[7]
TS 28.622: "Telecommunication management; Generic Network Resource Model (NRM) Integration Reference Point (IRP); Information Service (IS)".
[8]
TS 28.533: "Management and orchestration; Architecture framework".
3 Definitions of terms, symbols, and abbreviations p. 6
3.1 Terms p. 6
For the purposes of the present document, the terms given in TR 21.905 and the following apply:
3.2 Symbols p. 6
Void.
3.3 Abbreviations p. 7
For the purposes of the present document, the abbreviations given in TR 21.905 apply.
4 Concepts and overview p. 7
4.1 Overview p. 7
The present document is intended to study the mechanisms needed to collect the measurement data that will be used as the input to AI/ML functions residing in OAM [2]. Figure 4.1-1 depicts that the measurement data includes the UE measurements (i.e. MDT and RRM measurements), and actor feedback from the NG-RAN serving node, and the input information from the NG-RAN neighbouring nodes [2].
4.2 Concept p. 7
Figure 4.2-1 shows the management framework for measurement data connection needed to support RAN intelligence. Consumers may invoke management services to request 3GPP management system to collect measurement data from the NFs of NG-RAN serving node and neighbouring nodes. The NG-RAN serving node contains actors associated with AI enabled intelligent RAN use cases (e.g. network energy saving, mobility optimization, and load balancing) that may generate actions directed to the NG-RAN nodes and feedbacks to monitor the performance of the AI/ML Model (see clause 4.2 in TR 37.817). The NG-RAN serving node may collect the measurement reports from the UEs to which it is connected.
