公开(公告)号：US20220376801A1

公开(公告)日：2022-11-24

申请号：US17734524

申请日：2022-05-02

Applicant: QUALCOMM Incorporated

Inventor： Kumar PRATIK ,  Arash BEHBOODI ,  Joseph Binamira SORIAGA ,  Max WELLING

IPC: H04B17/373 ,  H04B17/391

Abstract: A processor-implemented method is presented. The method includes receiving an input sequence comprising a group of channel dynamics observations for a wireless communication channel. Each channel dynamics observation may correspond to a timing of a group of timings. The method also includes determining, via a recurrent neural network (RNN), a residual at each of the group of timings based on the group of channel dynamics observations. The method further includes updating Kalman filter (KF) parameters based on the residual and estimating, via the KF, a channel state based on the updated KF parameters.

公开(公告)号：US20220070822A1

公开(公告)日：2022-03-03

申请号：US17461927

申请日：2021-08-30

Applicant: QUALCOMM Incorporated

Inventor： Arash BEHBOODI ,  Farhad GHAZVINIAN ZANJANI ,  Joseph Binamira SORIAGA ,  Lorenzo FERRARI ,  Rana Ali AMJAD ,  Max WELLING ,  Taesang YOO

IPC: H04W64/00 ,  H04B7/06 ,  H04B7/08 ,  G06N20/00

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.