Carrier aggregation optimization using machine learning
AssigneeQUALCOMM Incorporated
InventorsSharad SHAHI, Madhup CHANDRA, Tom CHIN
Life of this patent
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AssigneeQUALCOMM Incorporated
InventorsSharad SHAHI, Madhup CHANDRA, Tom CHIN
Estimating the term…
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus of a user equipment (UE) may determine a set of inputs to a neural network configured to predict radio frequency channel conditions or a user context associated with the UE. In some aspects, the set of inputs includes historical data related to a wireless environment, a communication pattern, or a behavior pattern associated with the UE. The apparatus of the UE may determine, using the neural network and based at least in part on the set of inputs, an optimal number of aggregated carriers to maximize one or more of a power parameter or a performance parameter. The apparatus of the UE may communicate using the optimal number of aggregated carriers. Numerous other aspects are described.
An apparatus for wireless communication at a user equipment (UE), comprising:
A method of wireless communication performed by an apparatus of a user equipment (UE), comprising:
A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising:
An apparatus for wireless communication, comprising:
Dependencies are inferred from the claim text.