Uplink-based artificial intelligence / machine learning (ai/ml) positioning functionality and model identification

A radio access network (RAN) node, comprising:

• one or more memories;
• one or more transceivers;
• and
• one or more processors communicatively coupled to the one or more memories and the one or more transceivers, the one or more processors, either alone or in combination, configured to:
• transmit, via the one or more transceivers, to a network entity, a set of machine learning positioning capabilities supported by the RAN node, wherein the set of machine learning positioning capabilities includes a list of identifiers of a set of machine learning positioning functionalities supported by the RAN node, wherein the set of machine learning positioning functionalities is associated with a set of machine learning models that support the set of machine learning positioning functionalities, and wherein each machine learning positioning functionality of the set of machine learning positioning functionalities is associated with one or more machine learning models of the set of machine learning models;
• and
• transmit, via the one or more transceivers, to the network entity, one or more measurements of one or more sounding reference signal (SRS) resources transmitted by a user equipment (UE).

A network entity, comprising:

• one or more memories;
• one or more transceivers;
• and
• one or more processors communicatively coupled to the one or more memories and the one or more transceivers, the one or more processors, either alone or in combination, configured to:
• receive, via the one or more transceivers, from a radio access network (RAN) node, a set of machine learning positioning capabilities supported by the RAN node, wherein the set of machine learning positioning capabilities includes a list of identifiers of a set of machine learning positioning functionalities supported by the RAN node, wherein the set of machine learning positioning functionalities is associated with a set of machine learning models that support the set of machine learning positioning functionalities, and wherein each machine learning positioning functionality of the set of machine learning positioning functionalities is associated with one or more machine learning models of the set of machine learning models;
• and
• receive, via the one or more transceivers, from the RAN node, one or more measurements of one or more sounding reference signal (SRS) resources transmitted by a user equipment (UE).