Patent · US Active

Machine-learning framework for spectrum allocation

US11523287B2 · kind B2 · utility

6Cited by
0References
30Claims
0Family size

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Inventor

Key dates

Filing dateApr 20, 2021
Grant dateDec 6, 2022
Priority date—
Expiry dateJun 10, 2041

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04W88/08
  • WIPO fieldDigital communication
  • WIPO sectorElectrical engineering

Abstract

The disclosed embodiments provide improved methods and systems for predicting spectrum allocation in a wireless access network. The method may comprise receiving data associated with an access point (AP), creating, based on the received data and a machine learning algorithm, a decision model for predicting whether to allocate spectrum to the AP, generating a prediction, using the decision model, whether to allocate spectrum to the AP, and sending the prediction to a spectrum access system (SAS) in the wireless access network. The SAS may be configured to allocate spectrum to the AP based on the prediction.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.