公开(公告)号：US20220076134A1

公开(公告)日：2022-03-10

申请号：US17317633

申请日：2021-05-11

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Jeongseok HA ,  Jinyoung LEE

IPC: G06N3/08 ,  G06K9/62

Abstract: A learning method for a two-stage deep learning base secure precoder for information and an artificial noise signal in a non-orthogonal multiple access (NOMA) system is provided. The learning method for designing the two-stage deep learning based secure precoder for the information and the artificial noise signal in the NOMA system may include performing pre-training for downlink NOMA before information transmission to maximize a sum secrecy rate while ensuring secrecy rates of respective legitimate users, each having a single antenna (secrecy fairness), and performing post-training by fine tuning a neural network learned by the pre-training using unsupervised learning.