Error Analysis of Free Space Communication System Using Machine Learning-Reference-Cited by-同舟云学术

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Error Analysis of Free Space Communication System Using Machine Learning

Published:2023 Issue: Volume:11 Page:7195-7207
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Altalbe Ali A.¹^ORCID,Khan Muhammad Nasir²^ORCID,Tahir Muhammad³^ORCID

Affiliation:

1. Department of Computer Science, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Electrical Engineering, The University of Lahore, Lahore, Pakistan

3. Department of Software Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10021311.pdf?arnumber=10021311

Reference65 articles.

1. Free Space Ground to Satellite Optical Communications Using Kramers–Kronig Transceiver in the Presence of Atmospheric Turbulence

2. Site Diversity in Downlink Optical Satellite Networks Through Ground Station Selection

3. Effect of Pointing Errors on the Performance of Hybrid FSO/RF Networks

4. New challenges in wireless and free space optical communications

5. Challenges in Optical Wireless Communications

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1. A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Enhancing physical layer security via information hiding and chaotic frequency-hopping signal;Telecommunication Systems;2024-06-26

3. Deep-Learning Based Detectors for SISO and SIMO IM/DD FSO Systems;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. ANN Equalizer for Ultra-high Capacity Multiplexed IsOWC system;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

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