Artificial intelligence/machine learning (AI/ML)-based positioning measurement prediction

A method of wireless communication performed by a network node, comprising:

• obtaining one or more positioning measurements of one or more uplink reference signal resources transmitted by a user equipment (UE);
• applying a machine learning model to at least the one or more positioning measurements to obtain one or more predicted future positioning measurements associated with the UE;
• and
• transmitting, to a location server engaged in a positioning procedure with the UE, the one or more positioning measurements and the one or more predicted future positioning measurements.

A user equipment (UE), 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:
• obtain, during a positioning procedure with a location server, one or more positioning measurements of one or more positioning reference signal (PRS) resources transmitted by one or more network nodes;
• apply a machine learning model to at least the one or more positioning measurements to obtain one or more predicted future positioning measurements associated with the one or more network nodes;
• and
• transmit, via the one or more transceivers, positioning information to the location server, wherein the positioning information comprises the one or more positioning measurements and the one or more predicted future positioning measurements, a current position of the UE determined based, at least in part, on the one or more positioning measurements and a predicted future position of the UE determined based, at least in part, on the one or more predicted future positioning measurements, or both.

A network 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:
• obtain one or more positioning measurements of one or more uplink reference signal resources transmitted by a user equipment (UE);
• apply a machine learning model to at least the one or more positioning measurements to obtain one or more predicted future positioning measurements associated with the UE;
• and
• transmit, via the one or more transceivers, to a location server engaged in a positioning procedure with the UE, the one or more positioning measurements and the one or more predicted future positioning measurements.