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US 11,445,465 B2Granted
UE-based positioning
AssigneeQUALCOMM Incorporated
InventorsAlexandros Manolakos, Lorenzo Ferrari, Taesang Yoo
Life of this patent
Estimating the term…
Abstract
A method of determining a location of a user equipment includes: obtaining, at the user equipment, a position-determination model associated with a coarse location of the user equipment; determining one or more first positioning measurements at the user equipment; and determining, at the user equipment, the location of the user equipment based on the one or more first positioning measurements and the position-determination model.
Claims45
A user equipment comprising:
- a receiver configured to receive wireless signals;
- a memory;
- and
- a processor communicatively coupled to the receiver and the memory, the processor configured to:
- determine a coarse location of the user equipment;
- obtain a position-determination model based on the coarse location of the user equipment, wherein the position-determination model comprises one or more feature vectors or a machine-learning model and wherein the one or more feature vectors comprise one or more signal measurements previously performed by one or more devices;
- determine one or more first positioning measurements of one or more reference signals from one or more transmission/reception points (TRPs), wherein the one or more first positioning measurements comprises one or more reference signal time differences, one or more receive-transmit time differences, or a combination thereof;
- and
- determine a location of the user equipment based on the one or more first positioning measurements, one or more TRP identities associated with the one or more first positioning measurements, and the position-determination model;
- wherein to obtain the position-determination model, the processor is configured to use a first feature vector to train the position-determination model, the first feature vector including second positioning measurements from another user equipment and a corresponding location;
- and
- wherein the processor is configured to send a request for the first feature vector via the transmitter in at least one of an uplink communication or a sidelink communication, the request for the first feature vector including a second feature vector including third positioning measurements of the same measurement types as the second positioning measurements.
9 more elements
A method of determining a location of a user equipment, the method comprising:
- determining, at the user equipment, a coarse location of the user equipment;
- obtaining, at the user equipment, a position-determination model based on the coarse location of the user equipment, wherein the position-determination model comprises one or more feature vectors or a machine-learning model and wherein the one or more feature vectors comprise one or more signal measurements previously performed by one or more devices;
- determining, at the user equipment, one or more first positioning measurements of one or more reference signals from one or more transmission/reception points (TRPs), wherein the one or more first positioning measurements comprises one or more reference signal time differences, one or more receive-transmit time difference, or a combination thereof;
- and
- determining, at the user equipment, the location of the user equipment based on the one or more first positioning measurements, one or more TRP identities associated with the one or more first positioning measurements, and the position-determination model;
- wherein the user equipment is a first user equipment, and wherein obtaining the position-determination model comprises training the position-determination model using a first feature vector including second positioning measurements from a second user equipment and a corresponding location;
- and
- wherein the method of determining the location of the user equipment further comprises sending a request for the first feature vector wirelessly from the first user equipment in at least one of an uplink communication or a sidelink communication, the request for the first feature vector including a second feature vector including third positioning measurements of the same measurement types as the second positioning measurements.
5 more elements
A user equipment comprising:
- means for determining a coarse location of the user equipment;
- means for obtaining a position-determination model based on the coarse location of the user equipment, wherein the position-determination model comprises one or more feature vectors or a machine-learning model and wherein the one or more feature vectors comprise one or more signal measurements previously performed by one or more devices;
- means for determining one or more first positioning measurements of one or more reference signals from one or more transmission/reception points (TRPs), wherein the one or more first positioning measurements comprises one or more reference signal time differences, one or more receive-transmit time differences, or a combination thereof;
- and
- means for determining a location of the user equipment based on the one or more first positioning measurements, one or more TRP identities associated with the one or more first positioning measurements, and the position-determination model;
- wherein the means for obtaining comprise means for training the position-determination model using a first feature vector including second positioning measurements from a second user equipment and a corresponding location;
- and
- wherein the means for obtaining comprise means for sending a request for the first feature vector wirelessly from the user equipment in at least one of an uplink communication or a sidelink communication, the request for the first feature vector including a second feature vector including third positioning measurements of the same measurement types as the second positioning measurements.
5 more elements
A non-transitory, processor-readable storage medium comprising processor-readable instructions configured to cause a processor of a user equipment to:
- determine a coarse location of the user equipment;
- obtain a position-determination model based on the coarse location of the user equipment, wherein the position-determination model comprises one or more feature vectors or a machine-learning model and wherein the one or more feature vectors comprise one or more signal measurements previously performed by one or more devices;
- determine one or more first positioning measurements of one or more reference signals from one or more transmission/reception points (TRPs), wherein the one or more first positioning measurements comprises one or more reference signal time differences, one or more receive-transmit time differences, or a combination thereof;
- and
- determine a location of the user equipment based on the one or more first positioning measurements, one or more TRP identities associated with the one or more first positioning measurements, and the position-determination model;
- wherein the user equipment is a first user equipment;
- wherein the processor-readable instructions configured to cause the processor to obtain the position-determination model comprise processor-readable instructions configured to cause the processor to:
- train the position-determination model using a first feature vector including second positioning measurements from a second user equipment and a corresponding location;
- and
- send a request for the first feature vector wirelessly from the first user equipment in at least one of an uplink communication or a sidelink communication, the request for the first feature vector including a second feature vector including third positioning measurements of the same measurement types as the second positioning measurements.
7 more elements
Dependencies are inferred from the claim text.