Machine learning (ML)-based dynamic demodulator selection
AssigneeQUALCOMM Incorporated
InventorsJacob Pick, Assaf Touboul, Shay Landis, Alexei Yurievitch Gorokhov, Hari Sankar, Peer Berger
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AssigneeQUALCOMM Incorporated
InventorsJacob Pick, Assaf Touboul, Shay Landis, Alexei Yurievitch Gorokhov, Hari Sankar, Peer Berger
Estimating the term…
A method for wireless communication by a receiving device includes predicting with an artificial neural network, at each data block of a set of data blocks, a least complex demodulator that will achieve a goal. The predicting is based on features of a data block expected to be received at the receiving device. The method also includes dynamically selecting the least complex demodulator, from a set of demodulators with different levels of complexity, based on the features of the data block expected to be received. The method further includes demodulating the data block with the selected demodulator for the data block.
A method of wireless communication by a receiving device, comprising:
An apparatus for of wireless communication by a receiving device, comprising:
An apparatus for of wireless communication by a receiving device, comprising:
A non-transitory computer-readable medium having program code recorded thereon, the program code executed by a processor of a receiving device and comprising:
Dependencies are inferred from the claim text.