In-vehicle machine learning service discovery in perceptive wireless communications
AssigneeQUALCOMM Incorporated
InventorsKapil GULATI, Qing LI, Kyle Chi GUAN, Himaja KESAVAREDDIGARI, Hong CHENG, Junyi LI
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AssigneeQUALCOMM Incorporated
InventorsKapil GULATI, Qing LI, Kyle Chi GUAN, Himaja KESAVAREDDIGARI, Hong CHENG, Junyi LI
Estimating the term…
A first UE and a second UE may exchange information relating to one or more machine learning data services. The one or more machine learning data services may be provided by the second UE. The first UE and the second UE may pair with each other for the one or more machine learning data services. The second UE may perform machine learning inference using at least one machine learning inference model, and may transmit the inference result (e.g., a link quality prediction) associated with a link between a network node and the first UE to the network node. The network node may switch (the direction of) the network node beam if the inference result predicts that the degree of link quality degradation associated with a current network node beam is going to be greater than a prespecified threshold.
An apparatus for wireless communication at a first UE, comprising:
A method of wireless communication at a first UE, comprising:
An apparatus for wireless communication at a second UE, comprising:
A method of wireless communication at a second UE, comprising:
Dependencies are inferred from the claim text.