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公开(公告)号:US11973534B2
公开(公告)日:2024-04-30
申请号:US17513190
申请日:2021-10-28
Applicant: X Development LLC
Inventor: Varun Puri , Ozgun Bursalioglu Yilmaz
IPC: H04B10/00 , G06F18/214 , G06N3/08 , H04B10/079 , H04B10/112 , H04J14/00
CPC classification number: H04B10/0795 , G06F18/214 , G06N3/08 , H04B10/112
Abstract: A method of operating a communication network includes training a neural network and implementing the neural network to determine link availability. Training the neural network includes receiving first images and signal visibility data for first locations for one or more first nodes in the communication network, generating training data based on the first images and the signal visibility data, and training the neural network using the training data to output an attenuation category related to attenuation rate of a link based on a training image and a timestamp for the training image. Implementing the neural network includes receiving second images for second locations for one or more second nodes in the communication network, determining link availability based on the second images and outputs from the neural network, and operating the communication network based on the link availability.
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公开(公告)号:US20230135206A1
公开(公告)日:2023-05-04
申请号:US17513190
申请日:2021-10-28
Applicant: X Development LLC
Inventor: Varun Puri , Ozgun Bursalioglu Yilmaz
IPC: H04B10/079 , H04B10/112 , G06K9/62 , G06N3/08
Abstract: A method of operating a communication network includes training a neural network and implementing the neural network to determine link availability. Training the neural network includes receiving first images and signal visibility data for first locations for one or more first nodes in the communication network, generating training data based on the first images and the signal visibility data, and training the neural network using the training data to output an attenuation category related to attenuation rate of a link based on a training image and a timestamp for the training image. Implementing the neural network includes receiving second images for second locations for one or more second nodes in the communication network, determining link availability based on the second images and outputs from the neural network, and operating the communication network based on the link availability.
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