Two-dimensional End-to-end Deep Learning Autoencoder in G-Band Fiber-Terahertz Integrated Transmission for 6G RAN-Reference-Cited by-同舟云学术

Two-dimensional End-to-end Deep Learning Autoencoder in G-Band Fiber-Terahertz Integrated Transmission for 6G RAN

Published:2022-07-03 Issue: Volume: Page:
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Container-title:2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)
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Author:

Li Zhongya¹,Huang Changle¹,Jia Junlian¹,Li Guoqiang¹,Shen Wangwei¹,Shi Jianyang¹,Shen Chao¹,Li Ziwei¹,Zhang Junwen¹,Chi Nan¹

Affiliation:

1. Shanghai ERC of LEO Satellite Communication and Applications, Shanghai CIC of LEO Satellite Communication Technology, Fudan University,MoE Lab,Shanghai,China,200433

Funder

NSFC project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9849706/9849712/09850008.pdf?arnumber=9850008

Reference7 articles.

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2. The Roadmap to 6G: AI Empowered Wireless Networks;letaief;IEEE Commun Mag,2019

3. Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels

4. End-to-End Deep Learning of Optical Fiber Communications

5. Two tributaries heterogeneous neural network based channel emulator for underwater visible light communication systems;yiheng;Optics Express,2019

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