Generative wireless channel modeling
AssigneeQUALCOMM Incorporated
InventorsTribhuvanesh OREKONDY, Arash BEHBOODI, Joseph Binamira SORIAGA, Max WELLING
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Abstract
Certain aspects of the present disclosure provide techniques for wireless channel modeling. A set of input data is received for data transmitted, from a transmitter, as a signal in a wireless channel. A channel model is generated for the wireless channel using a generative adversarial network (GAN). A set of simulated output data is generated by transforming the first set of input data using the channel model.
Claims30
A processor-implemented method of generating simulated output data, comprising:
- receiving a first set of input data for data transmitted, from a transmitter, as a signal in a wireless channel;
- generating a channel model for the wireless channel using a generative adversarial network (GAN);
- and
- generating a first set of simulated output data by transforming the first set of input data using the channel model.
A processor-implemented method of training a channel model, comprising:
- receiving a set of wireless measurements corresponding to a wireless signal, the set of wireless measurements comprising:
- a first set of input data for data transmitted as a wireless signal;
- and
- a first set of output data for the wireless signal when received;
- and
- training a generative adversarial network (GAN), based on the set of wireless measurements, to generate a channel model for the wireless signals, wherein the channel model can be used to simulate output data based on input data.
A processing system, comprising:
- a memory comprising computer-executable instructions;
- and
- one or more processors configured to execute the computer-executable instructions and cause the processing system to perform an operation comprising:
- receiving a first set of input data for data transmitted, from a transmitter, as a signal in a wireless channel;
- generating a channel model for the wireless channel using a generative adversarial network (GAN);
- and
- generating a first set of simulated output data by transforming the first set of input data using the channel model.
A processing system, comprising:
- means for receiving a first set of input data for data transmitted, from a transmitter, as a signal in a wireless channel;
- means for generating a channel model for the wireless channel using a generative adversarial network (GAN);
- and
- means for generating a first set of simulated output data by transforming the first set of input data using the channel model.
Dependencies are inferred from the claim text.