Optimizing a waveform for channel conditions
AssigneeNokia Solutions and Networks Oy
InventorsJafar MOHAMMADI, Dileepa MARASINGHE, Le Hang NGUYEN, Yejian CHEN
Life of this patent
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Abstract
Disclosed is a method comprising providing to a machine learning model, as an input, a channel estimation or a plurality of raw pilots, obtaining, from the machine learning model, as an output, a label indicating a channel model, wherein the channel model is representative of channel conditions, based on the label, determining a waveform associated with the channel conditions, indicating the waveform to the receiver, and performing the transmission to the receiver using the waveform.
Claims15
An apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, are configured to cause the apparatus at least to:
- provide to a machine learning model, as an input, a channel estimation or a plurality of raw pilots;
- obtain, from the machine learning model, as an output, a label indicating a channel model, wherein the channel model is representative of channel conditions;
- based on the label, determine a waveform associated with the channel conditions;
- indicate the waveform to the receiver;
- and
- perform the transmission to the receiver using the waveform.
A method comprising:
- providing to a machine learning model, as an input, a channel estimation or a plurality of raw pilots;
- obtaining, from the machine learning model, as an output, a label indicating a channel model, wherein the channel model is representative of channel conditions;
- based on the label, determining a waveform associated with the channel conditions;
- indicating the waveform to the receiver;
- and
- performing the transmission to the receiver using the waveform.
A non-transitory computer-readable medium storing instructions, which when executed by a processor, cause an apparatus including the processor to perform:
- provide to a machine learning model, as an input, a channel estimation or a plurality of raw pilots;
- obtain, from the machine learning model, as an output, a label indicating a channel model, wherein the channel model is representative of channel conditions;
- based on the label, determine a waveform associated with the channel conditions;
- indicate the waveform to the receiver;
- and
- perform the transmission to the receiver using the waveform.
Dependencies are inferred from the claim text.