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Computer Science > Information Theory

arXiv:2103.00186 (cs)
[Submitted on 27 Feb 2021]

Title:Burst-Error Propagation Suppression for Decision-Feedback Equalizer in Field-Trial Submarine Fiber-Optic Communications

Authors:Ji Zhou, Chengkun Yang, Dawei Wang, Qi Sui, Haide Wang, Shecheng Gao, Yuanhua Feng, Weiping Liu, Yuelin Yan, Jianping Li, Changyuan Yu, Zhaohui Li
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Abstract:In this paper, we present a field-trial C-band 72Gbit/s optical on-off keying (OOK) system over 18.8km dispersion-uncompensated submarine optical cable in the South China Sea. Chromatic dispersion (CD) of 18.8km submarine optical cable causes four spectral nulls on the 36GHz bandwidth of 72Gbit/s OOK signal, which is the main obstacle for achieving an acceptable bit-error-rate (BER) performance. Decision feedback equalizer (DFE) is effective to compensate for the spectral nulls. However, DFE has a serious defect of burst-error propagation when the burst errors emerge due to the unstable submarine environment. Weighted DFE (WDFE) can be used to mitigate the burst-error propagation, but it cannot fully compensate for the spectral nulls because only a part of feedback symbols is directly decided. Fortunately, maximum likelihood sequence estimation (MLSE) can be added after the WDFE to simultaneously eliminate the resisting spectral distortions and implement optimal detection. Compared to the joint DFE and MLSE algorithm, the joint WDFE and MLSE algorithm can effectively suppress the burst-error propagation to obtain a maximum 2.9dB improvement of $\boldsymbol{Q}$ factor and eliminate the phenomenon of BER floor. In conclusion, the joint WDFE and MLSE algorithm can solve the burst-error propagation for the field-trial fiber-optic communications.
Comments: Under review of Journal of Lightwave Techonlogy
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2103.00186 [cs.IT]
  (or arXiv:2103.00186v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2103.00186
Related DOI: https://doi.org/10.1109/JLT.2021.3076822

Submission history

From: Haide Wang [view email]
[v1] Sat, 27 Feb 2021 11:14:28 UTC (1,687 KB)
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Ji Zhou
Dawei Wang
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