Fast and Accurate Optical Fiber Channel Modeling Using Generative
Adversarial Network

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Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

28 February 2020

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Papers citing "Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network"

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Title
Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network Yubin Zang Boyu Hua Zhenzhou Tang Zhipeng Lin Fangzheng Zhang Simin Li Zuxing Zhang Hongwei Chen 60 0 0 19 Aug 2024
Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network Yubin Zang Boyu Hua Zhipeng Lin Fangzheng Zhang Simin Li Zuxing Zhang Hongwei Chen 67 0 0 19 Aug 2024
Fiber neural networks for the intelligent optical fiber communications Yubin Zang Zuxing Zhang Simin Li Fangzheng Zhang Hongwei Chen 37 0 0 07 Aug 2024
IoT in the Era of Generative AI: Vision and Challenges Xin Wang Zhongwei Wan Arvin Hekmati M. Zong Samiul Alam Mi Zhang Bhaskar Krishnamachari 78 17 0 03 Jan 2024
Blind and Channel-agnostic Equalization Using Adversarial Networks V. Lauinger Michael J. Hoffmann Jonas Ney Norbert Wehn Laurent Schmalen 62 3 0 15 Sep 2022
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme Hang Yang Zekun Niu Haocheng Zhao S. Xiao Weisheng Hu L. Yi 25 18 0 12 Jan 2022