Challenges and Prospects of Machine Learning in Visible Light CommunicationOACSCD
Challenges and Prospects of Machine Learning in Visible Light Communication
Nan Chi;Junlian Jia;Fangchen Hu;Yiheng Zhao;Peng Zou
Key Laboratory for Infor-mation Science of Electromagnetic Waves(MoE),Fudan University,Shang-hai 200433,ChinaKey Laboratory for Infor-mation Science of Electromagnetic Waves(MoE),Fudan University,Shang-hai 200433,ChinaKey Laboratory for Infor-mation Science of Electromagnetic Waves(MoE),Fudan University,Shang-hai 200433,ChinaKey Laboratory for Infor-mation Science of Electromagnetic Waves(MoE),Fudan University,Shang-hai 200433,ChinaKey Laboratory for Infor-mation Science of Electromagnetic Waves(MoE),Fudan University,Shang-hai 200433,China
visual light communicationmachine learn-ingartificial intelligencedeep learningneural network
visual light communicationmachine learn-ingartificial intelligencedeep learningneural network
《通信与信息网络学报（英文）》 2020 (3)
302-309,8
This work was partially supported by National Key Research and Development Program of China(2017YFB0403603)and the NSFC project (No.61925104).The associate editor coordinating the review of this paper and approving it for publication was C.Huang.
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