Neural-network-based link-level performance prediction
AssigneeQUALCOMM Incorporated
InventorsWeiliang Zeng, Sanaz Barghi, Siddhartha Mallik, Taesang Yoo, Yisheng Xue, Xiaoxia Zhang
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AssigneeQUALCOMM Incorporated
InventorsWeiliang Zeng, Sanaz Barghi, Siddhartha Mallik, Taesang Yoo, Yisheng Xue, Xiaoxia Zhang
Estimating the term…
Methods, systems, and devices for wireless communications are described, and relate to a base station to communicating with a user equipment (UE) over a channel. A first device (for example, the base station or the UE) may use a trained neural network to estimate one or more link performance metrics associated with the channel. Predicting the link level performance may include determining one or more neural network weights associated with one or more input parameters associated with the channel to estimate the one or more link performance metrics. The first device may report feedback to the second device based on the estimated link performance metrics. Based on the feedback, the second device may adapt the link by adjusting channel parameters to improve the reliability or efficacy of later transmissions.
A method for wireless communications, comprising:
A method for wireless communications, comprising:
An apparatus for wireless communications, comprising:
An apparatus for wireless communications, comprising:
Dependencies are inferred from the claim text.