Communication for joint measurement procedures
AssigneeQUALCOMM Incorporated
InventorsMarwen ZORGUI, Sony AKKARAKARAN, Mohammed Ali Mohammed HIRZALLAH
Life of this patent
Estimating the term…
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AssigneeQUALCOMM Incorporated
InventorsMarwen ZORGUI, Sony AKKARAKARAN, Mohammed Ali Mohammed HIRZALLAH
Estimating the term…
Some procedures for collecting training data for artificial intelligence of machine learning (AI/ML) positioning may include collecting ground truth information from a user equipment (UE), and collecting radio frequency (RF) fingerprints between a UE and network nodes. An RF fingerprint may be information that characterizes an RF environment. Ground truth information may be radio access technology (RAT)-dependent (e.g., new radio (NR)-based positioning) or RAT-independent. To alleviate the burden on the amount of collected data with absolute ground truth information, semi-supervised techniques may be utilized, where the absolute ground truth location of UEs may be obtained for fewer locations or points. Some examples of the techniques described herein may provide procedures for collecting training data for one or more AI/ML positioning models. Some of the techniques may utilize device-to-device (D2D) positioning measurements, which may be used for training AI/ML models in a semi-supervised fashion.
A first wireless device, comprising:
A network entity, comprising:
A method for wireless communications by a first wireless device, comprising:
A method for wireless communications by a network entity, comprising:
Dependencies are inferred from the claim text.