Underwater Wireless Optical Communication With One-Bit Quantization: A Hybrid Autoencoder and Generative Adversarial Network Approach-Reference-Cited by-同舟云学术

Underwater Wireless Optical Communication With One-Bit Quantization: A Hybrid Autoencoder and Generative Adversarial Network Approach

Published:2023-10 Issue:10 Volume:22 Page:6432-6444
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Zou Cong¹^ORCID,Yang Fang¹^ORCID,Song Jian¹^ORCID,Han Zhu²^ORCID

Affiliation:

1. Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

2. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

Funder

National Key Research and Development Program of China

Science, Technology, and Innovation Commission of Shenzhen Municipality

Beijing National Research Center for Information Science and Technology

NSF

Toyota Motor Corporation

Amazon Catalyst

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/10275776/10044696-aam.pdf

Reference41 articles.

1. Underwater Optical Channel Generator: A Generative Adversarial Network Based Approach

2. 60 m/2.5 Gbps underwater optical wireless communication with NRZ-OOK modulation and digital nonlinear equalization;lu;Proc Conf Lasers Electro-Opt (CLEO),2019

3. Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks

4. Performance Studies of Underwater Wireless Optical Communication Systems With Spatial Diversity: MIMO Scheme

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