Patent · US Active

Deep learning-based wireless communication synchronization structures

US12349002B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

NVIDIA Corporation · US

Inventors

Faycal Ait Aoudia · Saint-Cloud, FR
Jakob HOYDIS · Paris, FR
Sebastian Cammerer · Rötteln, DE
Matthijs Jules Van Keirsbilck · Berlin, DE
Alexander Keller · Berlin, DE

Key dates

Filing date	Mar 24, 2023
Grant date	Jul 1, 2025
Priority date	—
Expiry date	Mar 27, 2044

Classification

Technology area (CPC H)Electricity
CPC primaryH04W74/0833
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Neural network-based structures for action user equipment device detection, estimation of time-of-arrival, and estimation of carrier frequency offset utilized with the narrowband physical random-access channel of wireless communication systems. The structure includes a neural network to generate predictions of active user equipment devices, and a twin neural network to generate time-of-arrival predictions for signals from the user equipment devices and carrier frequency offset predictions for signals from the user equipment devices.

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