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Samsung patents split AI method to improve wireless signal feedback

Patent drawing
Patent drawing from the official filing.

Samsung describes a method where a phone and a cell tower share parts of an AI model to compress and decompress wireless signal data. The phone sends compressed signal information to the tower, which processes it and sends back specific instructions to help the phone's AI model learn better.

Why it mattersThis approach could help phones report their connection quality to towers more efficiently, potentially improving data speeds without using extra battery power.

In the filing’s own words

A method of operating a base station, includes: transmitting a reference signal to an electronic device comprising a first model and a third model; receiving a first intermediate output from the electronic device; obtaining a second intermediate output by inputting the first intermediate output to a partial model excluding an output layer from a second model comprising a second neural network for data decompression; transmitting the second intermediate output to the electronic device; receiving a first gradient value from the electronic device and updating weight parameters of the partial model; and generating a second gradient value different from the first gradient value and transmitting the second gradient value to the electronic device.

What exactly they claim (claim 1)

1. A method of operating an electronic device, the method comprising: obtaining a channel estimation result, based on a reference signal received from a base station; obtaining a first intermediate output by inputting the channel estimation result to a first model comprising a first neural network for data compression; transmitting, to the base station, the first intermediate output; receiving, from the base station, a second intermediate output different from the first intermediate output; obtaining a decompressed channel estimation result by inputting the second intermediate output to a third model corresponding to an output layer of a second model comprising a second neural network for data decompression; calculating a loss between the obtained channel estimation result and the decompressed channel estimation result by comparing the obtained channel estimation result with the decompressed channel estimation result; transmitting, to the base station, a first gradient value for minimizing the loss; receiving, from the base station, a second gradient value different from the first gradient value; and updating the first model based on the second gradient value.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
ELECTRONIC DEVICE FOR FEEDING BACK CHANNEL STATE INFORMATION BY USING AUTOENCODER BASED ON MODIFIED SPLIT LEARNING, AND METHOD OF OPERATING THE SAME
Publication number
US20260303415A1
Application number
19677519
Filed
May 14, 2026
Published
Oct 1, 2026
Inventors
3
Claims
19

Classified under

H04L 25/0254 Electricity & electronicsH04L 5/0048 Electricity & electronics

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.