US Patent Application 17661543. MACHINE LEARNING FOR BEAM PREDICTIONS WITH CONFIDENCE INDICATIONS simplified abstract
Contents
MACHINE LEARNING FOR BEAM PREDICTIONS WITH CONFIDENCE INDICATIONS
Organization Name
Inventor(s)
Tianyang Bai of Somerville NJ (US)
Hua Wang of Basking Ridge NJ (US)
Taesang Yoo of San Diego CA (US)
Junyi Li of Fairless Hills PA (US)
MACHINE LEARNING FOR BEAM PREDICTIONS WITH CONFIDENCE INDICATIONS - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17661543 Titled 'MACHINE LEARNING FOR BEAM PREDICTIONS WITH CONFIDENCE INDICATIONS'
Simplified Explanation
The abstract describes a wireless communication system where a user equipment (UE) receives a signal and uses a machine learning component to predict a communication metric and a confidence indication. The machine learning model takes input metrics and error measurements to provide the predicted communication metric and confidence indication. The UE then uses this information to perform a wireless communication task.
Original Abstract Submitted
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a signal. The UE may determine, based at least in part on a machine learning component, a predicted communication metric and a confidence indication, the machine learning component comprising a machine learning model, and wherein determining the predicted communication metric and the confidence indication comprises: receiving, by the machine learning model, an input that comprises an input metric and an error measurement corresponding to the input metric; and providing, by the machine learning model, and based at least in part on a machine learning function and the input, the predicted communication metric and the confidence indication. The UE may perform a wireless communication task based at least in part on the predicted communication metric and the confidence indication. Numerous other aspects are described.
