Samsung patents method to predict wireless signal changes using AI
Samsung describes an electronic device that uses a neural network model called a latent transformer to predict how wireless signals will behave in the future. The system analyzes current reference signals to create compressed data sequences, which it then uses to forecast different types of channel features simultaneously.
In the filing’s own words
An electronic device includes: communication circuitry; at least one processor; and memory storing instructions, wherein the instructions, when executed by the at least one processor individually or collectively, cause the electronic device to: receive reference signals through the communication circuitry, based on the reference signals, generate at least two latent representation sequences representing at least two different channel features, wherein each latent representation sequence of the at least two latent representation sequences comprises a plurality of latent representation indices representing a corresponding channel feature of the at least two different channel features, and output, through a latent transformer configured to obtain relationships between the at least two latent representation sequences, first forecasted data and second forecasted data, the first forecasted data representing future channel features corresponding to a first type of channel feature and the second forecasted data representing future channel features corresponding to a second type of channel feature.
What exactly they claim (claim 1)
1. An electronic device comprising: communication circuitry; at least one processor; and memory storing instructions, wherein the instructions, when executed by the at least one processor individually or collectively, cause the electronic device to: receive reference signals through the communication circuitry, based on the reference signals, generate at least two latent representation sequences representing at least two different channel features, wherein each latent representation sequence of the at least two latent representation sequences comprises a plurality of latent representation indices representing a corresponding channel feature of the at least two different channel features, and output, through a latent transformer configured to obtain relationships between the at least two latent representation sequences, first forecasted data and second forecasted data, the first forecasted data representing future channel features corresponding to a first type of channel feature and the second forecasted data representing future channel features corresponding to a second type of channel feature.
Facts
- Company
- Samsung (SAMSUNG ELECTRONICS CO., LTD.)
- Official title
- ELECTRONIC DEVICE FOR FORECASTING WIRELESS CHANNEL FEATURES AND METHOD THEREOF
- Publication number
- US20260330189A1
- Application number
- 19533991
- Filed
- Feb 9, 2026
- Published
- Oct 22, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06N 3/0455 Physics & computingMore from Samsung in AI & software
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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.