Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques-Reference-Cited by-同舟云学术

Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques

Published:2024 Issue: Volume:12 Page:64126-64139
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Shamayleh Ahmad Sami¹^ORCID,Raza Aadil²^ORCID,Ali Zulfiqar³^ORCID,Malik Saad²,Iqbal Saeed⁴^ORCID,Raza Basit³^ORCID,Iqbal Muhammad⁵,Atieh Ahmad⁶^ORCID

Affiliation:

1. Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan

2. Department of Physics, COMSATS University Islamabad (CUI), Islamabad, Pakistan

3. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

4. Department of Computer Science, Barani Institute of Information Technology, Rawalpindi, Pakistan

5. Department of Computer Science, National University of Technology (NUTECH), Islamabad, Pakistan

6. Optiwave System Inc., Ottawa, ON, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10520984.pdf?arnumber=10520984

Reference37 articles.

1. Optical Performance Monitoring: A Review of Current and Future Technologies

2. A Statistical Study of De-Embedding Applied to Eye Diagram Analysis

3. 28-Gbaud PAM4 and 56-Gb/s NRZ Performance Comparison Using 1310-nm Al-BH DFB Laser

4. A 50Gb/s-PAM4 CDR with on-chip eye opening monitor for reference-level and clock-sampling adaptation;Chang

5. Performance Comparison of 112-Gb/s DMT, Nyquist PAM4, and Partial-Response PAM4 for Future 5G Ethernet-Based Fronthaul Architecture

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