End-to-End Learning for Free Space Optical Communication with BiLSTM-based Channel Model-Reference-Cited by-同舟云学术

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End-to-End Learning for Free Space Optical Communication with BiLSTM-based Channel Model

Published:2023-06-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
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Author:

Zhang Taoye¹,Zhang Lifang¹,Chen Wenbin²,Fu Meixia³,Zhou Pengsheng²,Li Songyan²,Wang Danshi²

Affiliation:

1. The Intelligent Network Innovation Center Chinaunicom,Beijing,China

2. Beijing University of Posts and Telecommunications (BUPT),State Key Laboratory of Information Photonics and Optical Communications,Beijing,China

3. Institute of Industrial Internet University of Science and Technology Beijing (UTSB),School of Automation and Electrical Engineering,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210852/10211094/10211249.pdf?arnumber=10211249

Reference13 articles.

1. Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances

2. Free-space optical communication through atmospheric turbulence channels

3. Physics‐Informed Neural Network for Nonlinear Dynamics in Fiber Optics

4. Applications of Physics-Informed Neural Network for Optical Fiber Communications

5. Survey on Free Space Optical Communication: A Communication Theory Perspective

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