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US 12,674,858 B2Granted
User equipment-based (UE-based) positioning based on self-radio frequency fingerprint (self-RFFP)
AssigneeQUALCOMM Incorporated
InventorsMohammed Ali Mohammed Hirzallah, Marwen Zorgui, Srinivas Yerramalli
Life of this patent
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Abstract
In an aspect, a UE may transmit one or more reference signals. The UE may obtain one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE. The UE may determine a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.
Claims30
A method of operating a user equipment (UE), comprising:
- transmitting one or more reference signals;
- obtaining one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE;
- and
- determining a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.
1 more element
A method of operating a user equipment (UE), comprising:
- receiving, from a second UE, one or more self-radio frequency fingerprint (self-RFFP) measurements obtained by the second UE based on reflections of one or more reference signals transmitted by the second UE;
- obtaining one or more sidelink RFFP (SL-RFFP) measurements based on one or more sidelink reference signals between the UE and the second UE;
- and
- determining a location of the second UE based on applying a machine learning model to the one or more self-RFFP measurements and the one or more SL-RFFP measurements.
1 more element
A user equipment (UE), 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, one or more reference signals;
- obtain one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE;
- and
- determine a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.
5 more elements
A user equipment (UE), 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:
- receive, via the at least one transceiver, from a second UE, one or more self-radio frequency fingerprint (self-RFFP) measurements obtained by the second UE based on reflections of one or more reference signals transmitted by the second UE;
- obtain one or more sidelink RFFP (SL-RFFP) measurements based on one or more sidelink reference signals between the UE and the second UE;
- and
- determine a location of the second UE based on applying a machine learning model to the one or more self-RFFP measurements and the one or more SL-RFFP measurements.
5 more elements
Dependencies are inferred from the claim text.