US Patent Application 18029351. METHOD AND APPARATUS FOR PERFORMING CHANNEL CODING OF UE AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM simplified abstract
METHOD AND APPARATUS FOR PERFORMING CHANNEL CODING OF UE AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM
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METHOD AND APPARATUS FOR PERFORMING CHANNEL CODING OF UE AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18029351 titled 'METHOD AND APPARATUS FOR PERFORMING CHANNEL CODING OF UE AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM
Simplified Explanation
This patent application describes a method for operating user equipment (UE) in a wireless communication system using a neural polar code. The method includes the following steps:
- Identifying layer information that is applied to a neural polar code.
- Generating transmission data by encoding input data into the neural polar code based on the identified layer information.
- Transmitting the transmission data to a base station.
The neural polar code generates the transmission data by performing encoding through a polar code transformation. This encoding starts from an initial layer of the data and progresses to a first layer according to the identified layer information. After the first layer, encoding is performed using a neural network-based autoencoder until the transmission data is generated.
Original Abstract Submitted
The present disclosure a method of operating user equipment (UE) in a wireless communication system, the method comprising: identifying layer information that is applied to a neural polar code; generating, based on the identified layer information, transmission data by encoding data that is input into the neural polar code; and transmitting the transmission data to a base station, wherein, based on polar code transformation, the neural polar code generates the transmission data by performing encoding, based on the polar code transformation, from an initial layer of the data to a first layer according to the identified layer information and by performing encoding through a neural network-based autoencoder after the first layer until the transmission data is generated.
