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This invention describes how a wireless device, such as a smartphone, can use artificial intelligence to learn the best way to transmit data over a wireless connection. By training a machine learning model with information about the signal quality, the device can predict the optimal data transmission settings (like speed and error correction) without needing constant feedback from the network. The claims specifically describe a phone receiving training data from a network device to achieve this.
Why it matters: Filed as AI/ML integration into wireless systems was accelerating. Since 2023, advancements in on-device machine learning efficiency and specialized hardware have made deploying complex ML models on user equipment more practical for real-time link adaptation. This reduces the computational and power overhead that might have been a greater barrier previously.
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