Single-mode fibers have reached a critical point in terms of optical communication capacity. Space division multiplexing (SDM) is one of the most promising candidates for increasing optical fiber capacity. SDM allows the propagation of multiple spatial channels where the paths could be multiple cores in a multi-core fiber (MCF). The transmission performance of MCFs is impaired by a non-unitary effect known as Core Dependent Loss (CDL). Multiple-input multiple-output (MIMO) technology is an effective solution to improve the transmission performance of MCFs. However, it can increase the system cost. Several techniques, such as core scrambling and Space-Time (ST) coding, have been proposed to mitigate CDL. This paper focuses on the analysis of the MCF transmission performance of different schemes. Our analysis concerns the derivation of an upper bound of the error probability by applying Maximum Likelihood (ML) and Zero-Forcing (ZF) decoders at the receiver. We also evaluate the performance of both core scrambling and ST coding systems. We prove that the ZF decoder offers similar performance to the ML decoder and confirm this with simulation results. Finally, to consider the cost factor of applying MIMO techniques, low complexity solution is proposed by combining core scrambling and ST codes using the sub-optimal ZF decoder and show performance close to the Gaussian channel.
| Published in | American Journal of Optics and Photonics (Volume 9, Issue 3) |
| DOI | 10.11648/j.ajop.20210903.12 |
| Page(s) | 39-50 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Fiber Optics Communications, MIMO, Space Division Multiplexing, Space-Time Coding
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APA Style
Akram Abouseif, Ghaya Rekaya-Ben Othman, Oussama Damen. (2021). Performance Analysis of CDL-impaired Multi-Core Fiber Transmission. American Journal of Optics and Photonics, 9(3), 39-50. https://doi.org/10.11648/j.ajop.20210903.12
ACS Style
Akram Abouseif; Ghaya Rekaya-Ben Othman; Oussama Damen. Performance Analysis of CDL-impaired Multi-Core Fiber Transmission. Am. J. Opt. Photonics 2021, 9(3), 39-50. doi: 10.11648/j.ajop.20210903.12
AMA Style
Akram Abouseif, Ghaya Rekaya-Ben Othman, Oussama Damen. Performance Analysis of CDL-impaired Multi-Core Fiber Transmission. Am J Opt Photonics. 2021;9(3):39-50. doi: 10.11648/j.ajop.20210903.12
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Download@article{10.11648/j.ajop.20210903.12,
author = {Akram Abouseif and Ghaya Rekaya-Ben Othman and Oussama Damen},
title = {Performance Analysis of CDL-impaired Multi-Core Fiber Transmission},
journal = {American Journal of Optics and Photonics},
volume = {9},
number = {3},
pages = {39-50},
doi = {10.11648/j.ajop.20210903.12},
url = {https://doi.org/10.11648/j.ajop.20210903.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajop.20210903.12},
abstract = {Single-mode fibers have reached a critical point in terms of optical communication capacity. Space division multiplexing (SDM) is one of the most promising candidates for increasing optical fiber capacity. SDM allows the propagation of multiple spatial channels where the paths could be multiple cores in a multi-core fiber (MCF). The transmission performance of MCFs is impaired by a non-unitary effect known as Core Dependent Loss (CDL). Multiple-input multiple-output (MIMO) technology is an effective solution to improve the transmission performance of MCFs. However, it can increase the system cost. Several techniques, such as core scrambling and Space-Time (ST) coding, have been proposed to mitigate CDL. This paper focuses on the analysis of the MCF transmission performance of different schemes. Our analysis concerns the derivation of an upper bound of the error probability by applying Maximum Likelihood (ML) and Zero-Forcing (ZF) decoders at the receiver. We also evaluate the performance of both core scrambling and ST coding systems. We prove that the ZF decoder offers similar performance to the ML decoder and confirm this with simulation results. Finally, to consider the cost factor of applying MIMO techniques, low complexity solution is proposed by combining core scrambling and ST codes using the sub-optimal ZF decoder and show performance close to the Gaussian channel.},
year = {2021}
}
TY - JOUR T1 - Performance Analysis of CDL-impaired Multi-Core Fiber Transmission AU - Akram Abouseif AU - Ghaya Rekaya-Ben Othman AU - Oussama Damen Y1 - 2021/11/23 PY - 2021 N1 - https://doi.org/10.11648/j.ajop.20210903.12 DO - 10.11648/j.ajop.20210903.12 T2 - American Journal of Optics and Photonics JF - American Journal of Optics and Photonics JO - American Journal of Optics and Photonics SP - 39 EP - 50 PB - Science Publishing Group SN - 2330-8494 UR - https://doi.org/10.11648/j.ajop.20210903.12 AB - Single-mode fibers have reached a critical point in terms of optical communication capacity. Space division multiplexing (SDM) is one of the most promising candidates for increasing optical fiber capacity. SDM allows the propagation of multiple spatial channels where the paths could be multiple cores in a multi-core fiber (MCF). The transmission performance of MCFs is impaired by a non-unitary effect known as Core Dependent Loss (CDL). Multiple-input multiple-output (MIMO) technology is an effective solution to improve the transmission performance of MCFs. However, it can increase the system cost. Several techniques, such as core scrambling and Space-Time (ST) coding, have been proposed to mitigate CDL. This paper focuses on the analysis of the MCF transmission performance of different schemes. Our analysis concerns the derivation of an upper bound of the error probability by applying Maximum Likelihood (ML) and Zero-Forcing (ZF) decoders at the receiver. We also evaluate the performance of both core scrambling and ST coding systems. We prove that the ZF decoder offers similar performance to the ML decoder and confirm this with simulation results. Finally, to consider the cost factor of applying MIMO techniques, low complexity solution is proposed by combining core scrambling and ST codes using the sub-optimal ZF decoder and show performance close to the Gaussian channel. VL - 9 IS - 3 ER -
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