Bi-directional Deep Transfer Learning for RIS-enhanced Multi-cell OFDMA Systems-Reference-Cited by-同舟云学术

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Bi-directional Deep Transfer Learning for RIS-enhanced Multi-cell OFDMA Systems

Published:2022-11-01 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
language:
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Author:

Sun Gaoxiang¹,Wang Xiaoming¹,Jiang Rui¹,Liu Ting²,Xu Youyun¹

Affiliation:

1. School of Communication & Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003

2. School of Artificial Intelligence / School of Future Technology, Nanjing University of Information Science and Technology,Nanjing,China,210044

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038977/10039087/10039163.pdf?arnumber=10039163

Reference15 articles.

1. Reconfigurable Intelligent Surfaces: Principles and Opportunities

2. Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network

3. OFDMA: a broadband wireless access tech-nology;Yin,2006

4. Joint Beamforming and Phase Shift Optimization for Multicell IRS-aided OFDMA-URLLC Systems

5. Sum-Rate Maximization for IRS-Assisted UAV OFDMA Communication Systems

Cited by 1 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

1. Going Beyond a Simple RIS: Trends and Techniques Paving the Path of Future RIS;IEEE Open Journal of Antennas and Propagation;2024-04

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