Adaptive multi-band OFDM-based transceiver design and performance evaluation for spectrally-efficient and resilient optical communication systems
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Noor J. Jihad
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Zainab N. Jameel
Abstract
This paper presents the design, implementation, and performance evaluation of a spectrally-efficient and resilient multi-band optical orthogonal frequency division multiplexing (MB-OFDM) transceiver architecture tailored for high-capacity long-haul communication systems. The proposed system employs both single-polarization (SP) and dual-polarization (DP) OFDM schemes, integrating 128 subcarriers per band, a 40 Gb/s data rate, and a cyclic prefix of 15 symbols. The optical transmission architecture supports 1,000 km of standard single-mode fiber (SMF) connectivity, which follows the ITU-T G.655 NRZSF specifications. Erbium-doped fiber amplifiers (EDFA) are spread every 50 km of links. Solution for cumulative chromatic spread 16.75 P S/NM/km. The system was assessed through simulation using both Opti-system software and MATLAB. The primary matrix for evaluation was the bit error rate (BER) and there was clarity in constellation charts at various optical signal-to-noise ratio (OSNR) levels. The findings suggest BER for the DP-MB-OFDM system can achieves a BER of 10−9 when the OSNR reaches 24 dB. This indicates that DP-MB-OFDM has both high noise immunity and strong transmission capacity. In contrast, one-single polarization MB-OFDM (SP-MB-OFDM) system shows a saturation effect around 10−5 BER under similar conditions. This system sheds light on the efficiency and profits of using polarization multiplexing (PM) to increase system performance. Further analysis of signal spectrum and constellation diagrams confirm that the inter-symbol interference is insignificant.
Acknowledgments
Would like to express my grateful thanks to my parents for their support, kindness, and patience in all and every stage of my life. They devoted their heart and soul to advance my education and encourage me to love learning and hardworking.
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Research ethics: The corresponding author declares that this manuscript is their own work, and has not been published before in any journal and/or conference, and it is never been considered for publication or submitted to any other journals.
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Informed consent: Not applicable.
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Author contributions:NJJ proposed the study of the manuscript, and ZNJ gave a valuable revision and illustration of some concept.ZNJ ,NJJ and MAA wrote the article and suitable editing, and reading, and approved the final version.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The author states no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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