Deep Hybrid Neural Network-Based Channel Equalization in Visible Light Communication-Reference-Cited by-同舟云学术

Deep Hybrid Neural Network-Based Channel Equalization in Visible Light Communication

Author:

Miao Pu¹^ORCID,Chen Gaojie²^ORCID,Cumanan Kanapathippillai³^ORCID,Yao Yu⁴^ORCID,Chambers Jonathon A.⁵

Affiliation:

1. School of Electronic and Information Engineering, Qingdao University, Qingdao, China

2. 5GIC & 6GIC, Institute for Communication Systems, University of Surrey, Guildford, U.K

3. Department of Electronic Engineering, University of York, York, U.K

4. School of Information Engineering, East China Jiaotong University, Nanchang, China

5. School of Engineering, University of Leicester, Leicester, U.K

Funder

Shandong Provincial Natural Science Foundation

National Natural Science Foundation of China

Key Project of Science and Technology of Hainan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

Reference12 articles.

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1. A Comprehensive Study on the Advances and Challenges in Visible Light Communication Technologies;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18