IP Library › Granted Patent US 12,666,278
Granted Patent B2
US 12,666,278 · App. 18/414,204 · Granted Jun 23, 2026

Radio (NR) adaptation of cellular network configuration in response to machine learning based weather prediction

Inventors: Shay Landis (Hod Hasharon, IL); Assaf Touboul (Netanya, IL); Guy Wolf (Rosh Haayin, IL); Peer Berger (Hod Hasharon, IL); David Yunusov (Holon, IL); Ran Berliner (Kfar Aviv, IL); Michael Levitsky (Rehovot, IL); Sharon Levy (Binyamina, IL); Noam Zach (Kiryat Ono, IL)
Assignee: QUALCOMM Incorporated
H04W24/02G06N3/08H04L1/0003H04W52/18H04W72/04
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Quick Facts
Patent No.
US 12,666,278
App. No.
18/414,204
Filed
Jan 16, 2024
Granted
Jun 23, 2026
Kind
B2
Examiner
SHEN, QUN
Art Unit
2662
USPC
370/328
Abstract

A communications device inputs channel state information to an artificial neural network. The communications device predicts weather conditions with the artificial neural network based on the channel state information. The communications device further adjusts communications based on the predicted weather conditions.

Claims (35)

1 . A method of wireless communication by a network communications device, comprising:

collecting data from a plurality of sensors of the network communications device;

collecting channel state information from a plurality of user equipment (UEs);

fusing the channel state information with the data from the plurality of sensors;

generating weather condition data sets for training an artificial neural network based on the channel state information fused with the data from the plurality of sensors;

predicting weather conditions with the artificial neural network trained on the weather condition data sets; and

adjusting communications based on the predicted weather conditions.

2 . The method of claim 1 , in which adjusting the communications comprises adjusting a transmit power.

3 . The method of claim 1 , in which adjusting the communications comprises activating a supplemental base station.

4 . The method of claim 1 , in which adjusting the communications comprises adjusting a beamforming codebook.

5 . The method of claim 1 , in which adjusting the communications comprises changing a frequency band for communications.

6 . The method of claim 1 , in which adjusting the communications comprises controlling a data rate by adjusting a modulation and coding scheme (MCS).

7 . The method of claim 1 , in which adjusting the communications comprises adjusting a path loss estimate to further adjust the communications.

8 . The method of claim 1 , further comprising requesting the plurality of user equipment (UEs) to report the channel state information for weather prediction.

9 . The method of claim 8 , in which the channel state information comprises a full channel impulse response.

10 . The method of claim 8 , in which the channel state information comprises delay spread statistics.

11 . The method of claim 8 , in which the reporting occurs while a data connection does not exist.

12 . The method of claim 1 , in which the network communications device comprises a base station.

13 . The method of claim 1 , in which the plurality of sensors of the network communications device comprise at least one of a camera, a radio detection and ranging (RADAR) sensor, and a light detection and ranging (LIDAR) sensor.

14 . An apparatus for wireless communications by a network communications device, comprising:

at least one processor,

memory coupled with the at least one processor; and

instructions stored in the memory and operable, when executed by the at least one processor, to cause the apparatus:

to collect data from a plurality of sensors of the network communications device;

to collect channel state information from a plurality of user equipment (UEs);

to fuse the channel state information with the data from the plurality of sensors;

to generate weather condition data sets for training an artificial neural network based on the channel state information fused with the data from the plurality of sensors;

to predict weather conditions with the artificial neural network trained on the weather condition data sets; and

to adjust communications based on the predicted weather conditions.

15 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by adjusting a transmit power.

16 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by activating a supplemental base station.

17 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by adjusting a beamforming codebook.

18 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by changing a frequency band for communications.

19 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by controlling a data rate to adjust a modulation and coding scheme (MCS).

20 . The apparatus of claim 14 , in which the processor causes the apparatus to adjust the communications by adjusting a path loss estimate to further adjust the communications.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 20, 2024
From: LANDIS, SHAY; TOUBOUL, ASSAF; WOLF, GUY; BERGER, PEER; YUNUSOV, DAVID; BERLINER, RAN; LEVITSKY, MICHAEL; LEVY, SHARON; ZACH, NOAM
To: QUALCOMM INCORPORATED
Reel/Frame 067471/0079 →
Continuity (2)
Continuation 17031302 · Sep 24, 2020
Related Publication 20240155381A1 · May 9, 2024
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