Deep Transfer Learning for Model-Driven Signal Detection in MIMO-NOMA Systems-Reference-Cited by-同舟云学术

Deep Transfer Learning for Model-Driven Signal Detection in MIMO-NOMA Systems

Author:

Wang Xiaoming¹^ORCID,Zhang Dongcai¹^ORCID,Chen Bingcen¹^ORCID,Liu Ting²^ORCID,Xin Yuanxue³^ORCID,Xu Youyun¹^ORCID

Affiliation:

1. School of Communication & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China

3. College of Internet of Things Engineering, Hohai University, Changzhou, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference43 articles.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Beam Training and Power Allocation in Near-Field NOMA Systems Based on DRL;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20