17938313. BEAMFORMING MULTIPATH WIRELESS CHANNELS USING NEURAL NETWORKS simplified abstract (QUALCOMM Incorporated)

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BEAMFORMING MULTIPATH WIRELESS CHANNELS USING NEURAL NETWORKS

Organization Name

QUALCOMM Incorporated

Inventor(s)

Aditya Uday Sant of San Diego CA (US)

Afshin Abdi of San Diego CA (US)

Joseph Binamira Soriaga of San Diego CA (US)

BEAMFORMING MULTIPATH WIRELESS CHANNELS USING NEURAL NETWORKS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17938313 titled 'BEAMFORMING MULTIPATH WIRELESS CHANNELS USING NEURAL NETWORKS

Simplified Explanation

The patent application describes techniques and apparatus for using a neural network to identify beamforming parameters for processing received signaling in wireless communication channels.

  • The method involves receiving a first set of signals on a wireless communication channel.
  • A set of beamformed signals is generated by applying beamforming parameters to each signal in the first set.
  • The neural network is used to generate predicted beamforming parameters based on the first set of beamformed signals.
  • A second signal is received on the wireless communication channel and beamformed using either the configured set of beamforming parameters or the predicted beamforming parameters.

Potential applications of this technology:

  • Wireless communication systems
  • Mobile networks
  • Internet of Things (IoT) devices
  • Satellite communication systems

Problems solved by this technology:

  • Beamforming parameters are typically manually configured, which can be time-consuming and prone to errors.
  • The use of a neural network allows for automatic identification of optimal beamforming parameters based on received signals.

Benefits of this technology:

  • Improved efficiency and accuracy in beamforming parameter selection.
  • Reduced manual configuration efforts.
  • Enhanced performance and reliability of wireless communication systems.


Original Abstract Submitted

Certain aspects of the present disclosure provide techniques and apparatus for identifying beamforming parameters to use in processing received signaling using a neural network. An example method generally includes receiving a first plurality of signals on a wireless communication channel. A first plurality of beamformed signals is generated by generating, for each respective signal of the first plurality of signals, a respective beamformed signal using beamforming parameters selected from a configured set of beamforming parameters. First predicted beamforming parameters are generated using a neural network and the first plurality of beamformed signals. A second signal is received on the wireless communication channel. The second signal is beamformed using beamforming parameters selected from a group of beamforming parameters including the configured set of beamforming parameters and the first predicted beamforming parameters.

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