Randomizing deep neural networks for telecommunications

EP4681397A1Pending Publication Date: 2026-01-21GOOGLE LLC
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Patent Information

Application Number
EP2024740718
Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-06-16
Filing Date
2024-06-14
Publication Date
2026-01-21

AI Technical Summary

Technical Problem

Conventional deep neural networks (DNNs) in telecommunications struggle to dynamically control transmission signals to maintain a white noise interference level, leading to potential transmission spikes and interference, especially when processing varying input data combinations.

Method used

A method involving a scrambling DNN operation that selects neural network scrambling information (NNSI) to reconfigure the transmitting DNN, ensuring the output communication signal meets the desired white noise interference level, with corresponding control messages directing the receiving DNN for effective descrambling and interference reduction.

Benefits of technology

This approach efficiently maintains a white noise interference level, prevents transmission spikes, and synchronizes transmitting and receiving DNNs to ensure reliable communication while maintaining signal quality and reducing interference.

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Abstract

End-to-end deep neural network (DNN) communications are provided between a first device (104a) and a second device (104b). At the first device, a transmitting DNN (106) processes input communication data to generate an output communication signal (118). The first device performs a scrambling DNN operations in response to a forecasted transmission of the generated output communication signal not satisfying a white noise interference level, including selecting neural network scrambling information (NNSI) for reconfiguring the transmitting DNN to process the input communication data to generate a scrambled output communication signal, which when transmitted satisfies the white noise interference level. The first device transmits a control message including an indication of the NNSI and scrambling timing information for directing when the second device is to reconfigure a corresponding receiving DNN (109) for generating reconstructed communication data. The first device transmits the scrambled output communication signal based on the scrambling timing information.
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