Imperceptible Visible Light Communications Based on Modified Just Imperceptible Difference and Aided by Deep Neural Network-Reference-Cited by-同舟云学术

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Imperceptible Visible Light Communications Based on Modified Just Imperceptible Difference and Aided by Deep Neural Network

Published:2024-09 Issue:3 Volume:8 Page:1273-1288
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Shi Hanyang¹^ORCID,Chi Xuefen²^ORCID,Zhao Yan¹,Zhao Linlin²^ORCID,Shu Feng¹^ORCID,Wang Jiangzhou³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Hainan University, Haikou, China

2. Department of Communications Engineering, Jilin University, Changchun, China

3. School of Engineering, University of Kent, Canterbury, U.K

Funder

Hainan Provincial Natural Science Foundation of China

Scientific Research Fund Project of Hainan University

National Natural Science Foundation of China

Jilin Provincial Scientific and Technological Development Program

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7511293/10654695/10436542.pdf?arnumber=10436542

Reference54 articles.

1. On the Secrecy Rate of Spatial Modulation-Based Indoor Visible Light Communications

2. Optimal ALOHA-Like Random Access With Heterogeneous QoS Guarantees for Multi-Packet Reception Aided Visible Light Communications

3. Physical-Layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis

4. Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning

5. Optimal Edge Nodes Deployment with Multi Association for Smart Health

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