Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems-Reference-Cited by-同舟云学术

Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems

Published:2022 Issue: Volume:8 Page:815-829
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Wang Xiaoming¹^ORCID,Sun Gaoxiang¹,Xin Yuanxue²^ORCID,Liu Ting³,Xu Youyun¹^ORCID

Affiliation:

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

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

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

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Jiangsu Province

Open Research Fund of National Mobile Communications Research Laboratory Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

Reference47 articles.

2. An actor-critic-based transfer learning framework for experience-driven networking;xu;IEEE/ACM Trans Netw,2021

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