Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery Using Unsupervised Machine Learning-Reference-Cited by-同舟云学术

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Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery Using Unsupervised Machine Learning

Published:2020 Issue: Volume:8 Page:207575-207588
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aveta Federica^ORCID,Refai Hazem H.^ORCID,Lopresti Peter G.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09261333.pdf?arnumber=9261333

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A PAM-4 signal enabled 400 Gbps hybrid PDM-OAM multiplexing-based FSO transmission system;Optical and Quantum Electronics;2024-06-27

2. Deep Learning-Assisted High-Pass-Filter-Based Fixed-Threshold Decision for Free-Space Optical Communications;Photonics;2024-06-26

3. 120 Gbps FSO transmission system based on integrated OFDM-PDM-OCDMA transmission using ICSM code: performance analysis;Optical and Quantum Electronics;2024-02-03

4. A Review of Cognitive Hybrid Radio Frequency/Visible Light Communication Systems for Wireless Sensor Networks;Sensors;2023-09-12

5. Emerging Technologies for 6G Communication Networks: Machine Learning Approaches;Sensors;2023-09-06

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