Machine learning models for positioning based on respective combinations of anchor devices
AssigneeQUALCOMM Incorporated
InventorsVarun Amar REDDY, Jay Kumar SUNDARARAJAN, Alexandros MANOLAKOS
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Abstract
Disclosed are techniques for wireless communication. In an aspect, a user device may transmit observable anchor information to a network entity, the observable anchor information indicating a set of anchor devices observable by the user device. The user device may obtain assistance information from the network entity, the assistance information indicating a machine learning model corresponding to the set of anchor devices. The user device may engage in a positioning procedure that is based on the machine learning model with at least a subset of the set of anchor devices for determining an estimated location of the user device.
Claims40
A method of wireless communication performed by a user device, comprising:
- transmitting observable anchor information to a network entity, the observable anchor information indicating a set of anchor devices observable by the user device;
- obtaining assistance information from the network entity, the assistance information indicating a machine learning model corresponding to the set of anchor devices;
- and
- engaging in a positioning procedure that is based on the machine learning model with at least a subset of the set of anchor devices for determining an estimated location of the user device.
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A user device, comprising:
- a memory;
- at least one transceiver;
- and
- at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to:
- transmit, via the at least one transceiver, observable anchor information to a network entity, the observable anchor information indicating a set of anchor devices observable by the user device;
- obtain assistance information from the network entity, the assistance information indicating a machine learning model corresponding to the set of anchor devices;
- and
- engage in a positioning procedure that is based on the machine learning model with at least a subset of the set of anchor devices for determining an estimated location of the user device.
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A user device, comprising:
- a memory;
- at least one transceiver;
- and
- at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to:
- obtain assistance information from a network entity, the assistance information indicating one or more candidate machine learning models corresponding to respective one or more candidate sets of anchor devices;
- select a machine learning model from the one or more candidate machine learning models based on a set of anchor devices that are observable by the user device;
- and
- engage in a positioning procedure that is based on the selected machine learning model with at least a subset of the corresponding set of anchor devices of the one or more candidate sets of anchor devices for determining an estimated location of the user device.
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Dependencies are inferred from the claim text.