US Patent Application 18006853. SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION simplified abstract
Contents
SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION
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SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18006853 Titled 'SIZE-BASED NEURAL NETWORK SELECTION FOR AUTOENCODER-BASED COMMUNICATION'
Simplified Explanation
The abstract describes methods, systems, and devices for wireless communications. It explains that in some wireless communication systems, devices can use multiple autoencoders for communication. A wireless device can choose an autoencoder based on the size of the message it needs to send. For example, a user equipment (UE) receives a grant from a base station that specifies the size of the message. The UE and base station then determine which neural network (NN)-based encoder to use based on the size parameter. The UE communicates the message to the base station using the determined NN-encoder. Additionally, the UE and base station can determine the number of resource segments and respective NN-based encoders for each segment from a set of allocated resources.
Original Abstract Submitted
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.
