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SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION
SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION
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机译:基于尺寸的神经网络选择用于基于自动编码器的通信
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摘要
Methods, systems, and devices for wireless communications are described. In some wireless communications systems, devices may implement multiple autoencoders for communications. A wireless device may select an autoencoder to use for communications based on a size parameter for a message. For example, a user equipment (UE) may receive a grant from a base station indicating a size parameter for communicating a message. The UE and base station may determine, from a set of neural network (NN)-based encoders configured at the UE, an NN-based encoder corresponding to the size parameter. The UE may communicate the message with the base station according to the grant and based on the determined NN-encoder. In some examples, the UE and base station may determine a number of resource segments from a set of resources allocated for communication and may determine respective NN-based encoders for the different resource segments.
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