# US 2025/0159643 A1 · Area information for positioning

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2025/0159643 A1
- Document ID: US20250159643A1
- Status: Published application
- Kind: A1
- Application number: 18/505,371
- Filed: 2023-11-09
- Published: 2025-05-15
- Earliest claimed: 2023-11-09
- Assignees: QUALCOMM Incorporated
- Applicants: QUALCOMM Incorporated
- Inventors: Mohammed Ali Mohammed HIRZALLAH; Taesang YOO; Rajat PRAKASH
- Web page: https://patentgrep.com/patent/US20250159643A1

## CPC

- H04W 4/021: Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
- H04W 64/00: Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management
- G06N 3/045: Combinations of networks
- G06N 3/08: Learning methods
- G06N 20/00: Machine learning
- H04L 5/0048: {Allocation of pilot signals, i.e. of signals known to the receiver (allocation of control signalling H04L5/0053; use of control signalling H04L5/0091)}
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

Disclosed are techniques for communication. In an aspect, a user equipment may receive area information for one or more areas, the area information including area identifiers (IDs) of the one or more areas, an area description of the one or more areas, or both. The user equipment may transmit an indication of support for area-specific positioning in at least a first area of the one or more areas.

## Claims

### Claim 1

A method of wireless communication at a user equipment (UE) comprising:
receiving area information for one or more areas, the area information including area identifiers (IDs) of the one or more areas, an area description of the one or more areas, or both; and
transmitting an indication of support for area-specific positioning in at least a first area of the one or more areas.

### Claim 2 (depends on 1)

The method of claim 1, further comprising:
obtaining one or more measurements of one or more reference signals in the first area; and
performing the area-specific positioning in the first area using the one or more measurements of the one or more reference signals.

### Claim 3 (depends on 1)

The method of claim 1, wherein the area information for each of the one or more areas includes an associated area description including geospatial parameters, timing parameters, or both.

### Claim 4 (depends on 1)

The method of claim 1, wherein the area-specific positioning comprises Artificial Intelligence/Machine Learning (AI/ML) positioning.

### Claim 5 (depends on 4)

The method of claim 4, further comprising:
obtaining one or more measurements of one or more reference signals in the first area; and
applying a machine learning model to the one or more measurements of one or more reference signals in the first area to obtain area-specific positioning information.

### Claim 6 (depends on 4)

The method of claim 4, wherein transmitting an indication of support for area-specific positioning in at least the first area of the one or more areas is in response to a request for a capability of the UE to perform AI/ML positioning.

### Claim 7 (depends on 5)

The method of claim 5, wherein the one or more measurements include sensing measurements or positioning measurements or both.

### Claim 8 (depends on 1)

The method of claim 1, wherein the area information for the one or more areas includes an area ID for each of the one or more areas, wherein the area IDs for the one or more areas include a first portion identifying an area listing and a second portion identifying an area within the area listing.

### Claim 9 (depends on 8)

The method of claim 8, wherein the first portion identifying the area listing identifies whether the area is network-initiated or UE-initiated.

### Claim 10

A method of wireless communication at a user equipment (UE) comprising:
transmitting a message identifying one or more UE-initiated areas, the message including an area identifier (ID), area description, or both for the one or more UE-initiated areas.

### Claim 11 (depends on 10)

The method of claim 10, wherein the message includes an area description for the one or more UE-initiated areas, wherein the area description includes geospatial parameters, timing parameters, or both.

### Claim 12 (depends on 10)

The method of claim 10, further comprising:
performing area-specific positioning in a first area of the one or more UE-initiated areas, wherein the area-specific positioning is AI/ML positioning, and wherein performing area-specific positioning in the first area comprises:
obtaining one or more measurements of one or more reference signals; and
applying a machine learning model to the one or more measurements of the one or more reference signals in the first area to obtain area-specific positioning information.

### Claim 13

A method of communication at a network entity comprising:
transmitting area information for one or more areas to a user equipment (UE), the area information including area identifiers (IDs) of the one or more areas, an area description of the one or more areas, or both; and
receiving an indication of support for area-specific positioning in at least a first area of the one or more areas.

### Claim 14 (depends on 13)

The method of claim 13, wherein the area information for each of the one or more areas includes an associated area description including geospatial parameters, timing parameters, or both.

### Claim 15 (depends on 13)

The method of claim 13, wherein the area-specific positioning comprises Artificial Intelligence/Machine Learning (AI/ML) positioning, and further comprising:
instructing the UE to perform the AI/ML positioning at a first time.

### Claim 16

A method of communication at a network entity comprising:
receiving, from a user equipment (UE), a message identifying one or more UE-initiated areas, the message including an area identifier (ID), area description, or both for the one or more UE-initiated areas.

### Claim 17 (depends on 16)

The method of claim 16, wherein the message includes an area description for the one or more UE-initiated areas, wherein the area description includes geospatial parameters, timing parameters, or both.

### Claim 18

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:
receive, via the one or more transceivers, area information for one or more areas, the area information including area identifiers (IDs) of the one or more areas, an area description of the one or more areas, or both; and
transmit, via the one or more transceivers, an indication of support for area-specific positioning in at least a first area of the one or more areas.

### Claim 19 (depends on 18)

The user equipment of claim 18, wherein the one or more processors, either alone or in combination, are further configured to:
obtain one or more measurements of one or more reference signals in the first area; and
perform the area-specific positioning in the first area using the one or more measurements of the one or more reference signals.

### Claim 20 (depends on 18)

The user equipment of claim 18, wherein the area information for each of the one or more areas includes an associated area description including geospatial parameters, timing parameters, or both.

### Claim 21 (depends on 20)

The user equipment of claim 20, wherein the geospatial parameters include latitude information, longitude information, altitude information, or a combination thereof.

### Claim 22 (depends on 20)

The user equipment of claim 20, wherein the timing parameters include area validity timer information, validity timing range information, validity start time, validity end time, or a combination thereof.

### Claim 23 (depends on 20)

The user equipment of claim 20, wherein the timing parameters include at least some non-contiguous timing information, the non-contiguous timing information comprising at least one indication selected from a group consisting of: a start time indication, an end time indication, a duration indication, and a periodicity indication.

### Claim 24 (depends on 18)

The user equipment of claim 18, wherein the one or more areas are network-initiated areas, and wherein the one or more processors, either alone or in combination, are further configured to:
transmit, via the one or more transceivers, a message identifying one or more UE-initiated areas.

### Claim 25 (depends on 24)

The user equipment of claim 24, wherein at least one of the one or more UE-initiated areas partially or fully overlaps at least one of the one or more areas.

### Claim 26 (depends on 18)

The user equipment of claim 18, wherein the area-specific positioning comprises Artificial Intelligence/Machine Learning (AI/ML) positioning.

### Claim 27 (depends on 26)

The user equipment of claim 26, wherein the one or more processors, either alone or in combination, are further configured to:
obtain one or more measurements of one or more reference signals in the first area; and
apply a machine learning model to the one or more measurements of one or more reference signals in the first area to obtain area-specific positioning information.

### Claim 28 (depends on 27)

The user equipment of claim 27, wherein the one or more processors, either alone or in combination, are further configured to:
apply the machine learning model to the one or more measurements of one or more reference signals in response to a position of the UE, a current time, or both.

### Claim 29 (depends on 28)

The user equipment of claim 28, wherein the one or more processors, either alone or in combination, are further configured to:
at a subsequent time, determine to: deactivate AI/ML positioning for the machine learning model, apply a different machine learning model to the one or more measurements, select a different positioning technique, switch to a fallback positioning technique, or a combination thereof.

### Claim 30 (depends on 27)

The user equipment of claim 27, wherein the one or more processors, either alone or in combination, are further configured to:
receive, via the one or more transceivers, an indication to perform AI/ML positioning; and
apply the machine learning model to the one or more measurements in response to the indication to perform AI/ML positioning.

### Claim 31 (depends on 30)

The user equipment of claim 30, wherein the one or more processors, either alone or in combination, are further configured to:
subsequent to receiving the indication to perform AI/ML positioning, receive an indication to deactivate AI/ML positioning.

### Claim 32 (depends on 31)

The user equipment of claim 31, wherein the one or more processors, either alone or in combination, are further configured to:
transmit, via the one or more transceivers, an indication to a network entity to initiate deactivation of the AI/ML positioning; and
wherein the indication to deactivate AI/ML positioning is received in response to the transmission.

### Claim 33 (depends on 30)

The user equipment of claim 30, wherein the one or more processors, either alone or in combination, are further configured to:
subsequent to receiving the indication to perform the AI/ML positioning, receive an indication to switch to a different positioning method.

### Claim 34 (depends on 33)

The user equipment of claim 33, wherein the indication to switch to the different positioning method is an indication to switch to a fallback positioning method.

### Claim 35 (depends on 33)

The user equipment of claim 33, wherein the one or more processors, either alone or in combination, are further configured to:
transmit, via the one or more transceivers, an indication to a network entity to initiate the switch to the different positioning method; and
wherein the indication to switch to the different positioning method is received in response to the transmission.

### Claim 36 (depends on 30)

The user equipment of claim 30, wherein the one or more processors, either alone or in combination, are further configured to:
subsequent to receiving the indication to perform AI/ML positioning, receive an indication to switch to a different machine learning model.

### Claim 37 (depends on 36)

The user equipment of claim 36, wherein the indication to switch to the different machine learning model comprises an indication that the UE is in or proximate to a different area than the first area, and wherein the UE supports AI/ML positioning in the different area.

### Claim 38 (depends on 36)

The user equipment of claim 36, wherein the one or more processors, either alone or in combination, are further configured to:
transmit, via the one or more transceivers, an indication to a network entity to initiate the switch to the different machine learning model; and
wherein the indication to switch to the different machine learning model is received in response to the transmission.

### Claim 39 (depends on 18)

The user equipment of claim 18, wherein the area information for the first area includes an area description, the area description including timing information indicating one or more time ranges during which area-specific positioning is supported in the first area.

### Claim 40 (depends on 39)

The user equipment of claim 39, wherein the one or more processors, either alone or in combination, are further configured to:
determine to perform the area-specific positioning in the first area based at least in part on determining that a current time is included in the one or more time ranges.

### Claim 41 (depends on 39)

The user equipment of claim 39, wherein the timing information includes validity timer information, range of area validity timing information, periodic validity time information, or a combination thereof.

### Claim 42 (depends on 18)

The user equipment of claim 18, wherein the one or more processors, either alone or in combination, are further configured to:
determine that the UE is located in or proximate to the first area; and
perform the area-specific positioning in the first area in response to the determining.

### Claim 43 (depends on 18)

The user equipment of claim 18, wherein the one or more processors, either alone or in combination, are further configured to:
receive, via the one or more transceivers, an instruction to perform the area-specific positioning in the first area based on a position of the UE, a current time, or both; and
perform the area-specific positioning in the first area in response to the instruction.

### Claim 44 (depends on 18)

The user equipment of claim 18, wherein the area information for the one or more areas includes an area ID for each of the one or more areas, wherein the area IDs for the one or more areas include a first portion identifying an area listing and a second portion identifying an area within the area listing.

### Claim 45 (depends on 44)

The user equipment of claim 44, wherein the first portion identifying the area listing identifies whether the area is network-initiated or UE-initiated.

### Claim 46 (depends on 18)

The user equipment of claim 18, wherein the area information for the one or more areas includes an area ID for each of the one or more areas, wherein the area IDs for the one or more areas include a plurality of portions each associated with a hierarchy level, the plurality of portions including a group identifier associated with an area listing having a first hierarchy level, a subgroup identifier identifying an area listing having a second hierarchy level, and an item identifier identifying the area at a third hierarchy level.

### Claim 47

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:
transmit, via the one or more transceivers, a message identifying one or more UE-initiated areas, the message including an area identifier (ID), area description, or both for the one or more UE-initiated areas.

### Claim 48 (depends on 47)

The user equipment of claim 47, wherein the message includes an area description for the one or more UE-initiated areas, wherein the area description includes geospatial parameters, timing parameters, or both.

### Claim 49 (depends on 47)

The user equipment of claim 47, wherein the message includes an area ID for each of the one or more UE-initiated areas, and wherein at least one of the one or more UE-initiated areas includes a plurality of non-contiguous area segments associated with a same area ID.

### Claim 50 (depends on 47)

The user equipment of claim 47, wherein the one or more processors, either alone or in combination, are further configured to:
perform area-specific positioning in a first area of the one or more UE-initiated areas.

### Claim 51 (depends on 50)

The user equipment of claim 50, wherein the area-specific positioning is AI/ML positioning, and wherein the one or more processors, either alone or in combination, are further configured to:
obtain one or more measurements of one or more reference signals; and
apply a machine learning model to the one or more measurements of the one or more reference signals in the first area to obtain area-specific positioning information to perform the area-specific positioning.

### Claim 52

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:
transmit, via the one or more transceivers, area information for one or more areas to a user equipment (UE), the area information including area identifiers (IDs) of the one or more areas, an area description of the one or more areas, or both; and
receive, via the one or more transceivers, an indication of support for area-specific positioning in at least a first area of the one or more areas.

### Claim 53 (depends on 52)

The network entity of claim 52, wherein the area information for each of the one or more areas includes an associated area description including geospatial parameters, timing parameters, or both.

### Claim 54 (depends on 52)

The network entity of claim 52, wherein the one or more areas are network-initiated areas, and wherein the one or more processors, either alone or in combination, are further configured to:
receive, via the one or more transceivers, a message identifying one or more UE-initiated areas.

### Claim 55 (depends on 52)

The network entity of claim 52, wherein the area-specific positioning comprises Artificial Intelligence/Machine Learning (AI/ML) positioning, and wherein the one or more processors, either alone or in combination, are further configured to:
instruct the UE to perform the AI/ML positioning at a first time.

### Claim 56 (depends on 55)

The network entity of claim 55, wherein the one or more processors, either alone or in combination, are further configured to:
at a second time subsequent to the first time, instruct the UE to: deactivate AI/ML positioning, switch to a different machine learning model, select a different positioning technique, switch to a fallback positioning technique, or a combination thereof.

### Claim 57

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 user equipment (UE), a message identifying one or more UE-initiated areas, the message including an area identifier (ID), area description, or both for the one or more UE-initiated areas.

### Claim 58 (depends on 57)

The network entity of claim 57, wherein the message includes an area description for the one or more UE-initiated areas, wherein the area description includes geospatial parameters, timing parameters, or both.

### Claim 59 (depends on 57)

The network entity of claim 57, wherein the one or more processors, either alone or in combination, are further configured to:
instruct the UE to perform area-specific positioning in a first area of the one or more UE-initiated areas.

### Claim 60 (depends on 59)

The network entity of claim 59, wherein the area-specific positioning is AI/ML positioning, and wherein the one or more processors, either alone or in combination, are further configured to:
receive, via the one or more transceivers, positioning information from the UE, the positioning information obtained using a machine learning model.
