This invention describes a method where a wireless communication device trains a neural network to improve how it handles signals. One device sends a reference signal, receives channel information back from another device, and then trains a neural network using that received information. This trained network is then used by the first device to process the channel information, aiming to reduce communication overhead and improve performance. The claims focus on the first device performing this training and inference.
Why it matters: Filed in 2023, the continued rapid advancements in neural network architectures and real-time processing efficiency by 2026 could make this method more practical for deployment in evolving wireless communication standards.
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