Comparison of Different Wavelength Propagations over Few-Mode Fiber based on Space Division Multiplexing in Conjunction with Electrical Equalization

Abstract — Nonlinearities in optical fibers deteriorate system performances and become a major performance-limiting issue. This article aims to investigate the compensation of nonlinear distortions in optical communication systems based on different wavelength propagations over few-mode fiber (FMF). The study adopted Space Division Multiplexing (SDM) based on decision feedback equalizer (DFE). Various transmission wavelength of the FMF system is applied to mitigate the attenuation effect on the system. In this paper, different wavelengths (780, 850 and 1550 nm) are used in SDM. Extensive simulation is performed to assess the attenuation and Bit Error Rate (BER) in each case. The results show that the wavelength of 1550 nm produces higher power and less attenuation in the transmission. Furthermore, this wavelength produces the best distance with less BER compared to 780 nm and 850 nm wavelengths. Moreover, the validations show improvement in BER and eye diagram.

[1]  Syed Zulkarnain Syed Idrus,et al.  Design & investigation of 10x10 gbit/s MDM over hybrid FSO link under different weather conditions and fiber to the home , 2019, Bulletin of Electrical Engineering and Informatics.

[2]  S.A. Aljunid,et al.  Comparison of wavelength propagation for Free Space Optical Communications , 2008, 2008 International Conference on Electronic Design.

[3]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[4]  Rene-Jean Essiambre Nonlinear Capacity Limit to Optical Communications , 2015 .

[5]  Miss A.O. Penney (b) , 1974, The New Yale Book of Quotations.

[6]  Aaron D. Wyner,et al.  Shannon-theoretic approach to a Gaussian cellular multiple-access channel , 1994, IEEE Trans. Inf. Theory.

[7]  Ángel Peralta Gallardo Orthogonal Frequency Division Multiplexed Access for Passive Optical Networks: a hands-on training approach , 2012 .

[8]  Hua Yu,et al.  Spatial and Time-Reversal Diversity Aided Least-Symbol-Error-Rate Turbo Receiver for Underwater Acoustic Communications , 2018, IEEE Access.

[9]  Aras Ghazi Mohammed Al-Dawoodi,et al.  An improved bees algorithm local search mechanism for numerical dataset , 2015 .

[10]  Guifang Li,et al.  Space-division multiplexing: the next frontier in optical communication , 2014 .

[11]  Miguel V. Andrés,et al.  All-Fiber Laser With Intracavity Acousto-Optic Dynamic Mode Converter for Efficient Generation of Radially Polarized Cylindrical Vector Beams , 2017, IEEE Photonics Journal.

[12]  Aso Ahmed Majeed,et al.  -FSO SYSTEM UNDER DIFFERENT WEATHER CONDITION , 2019 .

[13]  Angela Amphawan,et al.  Review of optical multiple-input–multiple-output techniques in multimode fiber , 2011 .

[14]  Kaharudin Dimyati,et al.  Interference Reduction Using MMSE-DFE Equalizer with One-Third ICI-SC STFBC for MIMO-OFDMA System , 2018 .

[15]  Andrew D. Ellis The nonlinear Shannon limit and the need for new fibres , 2012, Photonics Europe.

[16]  J. Kahn,et al.  Linear Propagation Effects in Mode-Division Multiplexing Systems , 2014, Journal of Lightwave Technology.

[17]  Peter J. Winzer,et al.  Spatial Multiplexing in Fiber Optics: The 10X Scaling of Metro/Core Capacities , 2014, Bell Labs Tech. J..

[18]  A. Gnauck,et al.  Mode-Division Multiplexing Over 96 km of Few-Mode Fiber Using Coherent 6 $\,\times\,$6 MIMO Processing , 2012, Journal of Lightwave Technology.

[19]  Massudi Mahmuddin,et al.  Experimental study of variation local search mechanism for bee algorithm feature selection , 2017 .

[20]  P. Winzer,et al.  Capacity Limits of Optical Fiber Networks , 2010, Journal of Lightwave Technology.

[21]  Ingo Fischer,et al.  Post-processing of Long-haul and Ethernet Optical Transmission Signals Using Photonic Reservoir Computing , 2017, 2017 European Conference on Optical Communication (ECOC).

[22]  Alaan Ghazi Mohammed Al-Dawoodi Neural network equalization scheme to improve channel impulse response at the receiver for optical mode division multiplexing , 2016 .

[23]  Massudi Mahmuddin,et al.  An Empirical Study of Double-Bridge Search Move on Subset Feature Selection Search of Bees Algorithm , 2017 .

[24]  Angela Amphawan,et al.  Modal Properties of a Varied High Indexed Large Core 4-Mode Photonic Crystal Fiber , 2018, 2018 IEEE 7th International Conference on Photonics (ICP).

[25]  Angela Amphawan,et al.  Effect of decision feedback equalizer taps on 3×6- channel mode-wavelength division multiplexing system performance in multimode fiber , 2017 .

[26]  C.A. Belfiore,et al.  Decision feedback equalization , 1979, Proceedings of the IEEE.

[27]  Keang-Po Ho,et al.  Mode-division multiplexing systems: Propagation effects, performance and complexity , 2013, 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC).

[28]  Angela Amphawan,et al.  Free-space optics mode-wavelength division multiplexing system using LG modes based on decision feedback equalization , 2017 .

[29]  Angela Amphawan,et al.  Channel Impulse Response Equalization based on Genetic Algorithm in Mode Division Multiplexing , 2018 .

[30]  Clemens Koebele Mode-division-multiplexing as a possibility to cope with the increasing capacity demand in optical transmission systems , 2012 .

[31]  Pierpaolo Boffi,et al.  Frequency division multiplexing for very high capacity transmission in bandwidth-limited systems , 2017, 2017 Optical Fiber Communications Conference and Exhibition (OFC).