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Robert Oluwayimika Abolade
Oluwaseun Olayinka Tooki
David Oluwagbemiga Aborisade


The main challenge faced in today's telecommunication is the ever increasing demand for bandwidth and data rates. The desire to expand the capacity of fiber optic communication to accommodate this demand accelerated the development of high capacity Dense Wavelength Division Multiplexing (DWDM) transmission equipment. However, nonlinear impairments are the fundamental limiting mechanisms to the amount of data that can be transmitted in DWDM. In DWDM, Four Wave Mixing is the most critical of nonlinear effects in fibre optics communication. This effect limits the DWDM’s channel capacity. There are numerous researches on nonlinear impairments that show the intricacy of FWM phenomena in DWDM system. This article present review of the several measures which have been carried out by researchers to overcome nonlinear effects in DWDM. Such measures include Modulation Formats, Channel Spacing, Channel Shuffling Algorithm and Electro-Optic Phase Modulation. The review provides insight into the methods, parameters and approaches used by other researchers. This will pave way for can thus lead to significant improvement in the design of DWDM system.

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Abd, H.J, Jaber, A.H., and Al-Hayder, A.A (2018). Effectiveness of Modulation Formats to Nonlinear Effects in Optical Fiber Transmission Systems under 160 Gb/s Data Rate. Progress In Electromagnetics Research Letters, Vol. 78, 9-16

Agalliu, R. and Lucki, M. (2014). Benefits and Limits of Modulation Formats for Optical Communications. Advances In Electrical And Electronic Engineering; Optics and Optoelectronics Volume: 12 Number: 2 June 2014 pp 160-167.

Agrawal, G.P. (2002). Fibre-Optic Communication Systems, Third Edition. A John Wiley & Sons Inc. Publication. Chap. pp 330.

Agrawal G.P. (2006). Nonlinear fibre optics. Academic Press, San Diego, USA, Chap.10. pg 335

Ahmed, S.D, and Fyath, R.S (2018). Effect of Four-Wave Mixing on the Transmission Performance of O-Band Multichannel PAM-Based Unamplified Datacenter Interconnects. International Journal of Networks and Communications 2018, 8(3): 63-80

Ali F., Khan Y., Qureshi, S. Shafique, A. S., and Waqas, M. (2018). Effect of Fibre-Optics Nonlinearities in Long Haul and Ultra-High Speed DWDM Optical Transmission Networks at 10, 40 and 100 Gb/s Ultra-High Speed Data Rates. Journal of Optical Communications December 2018 pp 136- 146

Alipoor, A., Mir A., and Sheikhi, A. (2018) Study of DWDM-ROF link nonlinear effects using direct and external ODSB modulation formats. Research article from the Optical Society of India pp. 1-9

Alvarez-Chavez, J.A., Sanchez-Lara, R., Ek-Ek, J.R., Offerhaus, H.L., May-Alarcon, M. and Golikov, V. (2018) Optimum Power in a Multi-Span DWDM System Limited by Non-Linear Effects. Optics and Photonics Journal, 8, 337-347.

Boris, K., Mathieu C., Felix, T., Tobias, A.E, Henning, B., Domanic ,L., Polina, B,, and Laurent, S. (2018). End-to-end Deep Learning of Optical Fiber Communications. Journal of Lightwave Technology pp 1-13.

Boštjan, B., Vijay, J., and Sašo, T. (2014). Research challenges in optical communications towards 2020 and beyond. Journal of Microelectronics, Electronic Components and Materials Vol. 44, No. 3 (2014), 177-184.

Fizza, G., Hussain, A., and Jokhio, S.H (2016). Experimental Analysis and Reduction of FWM Using Optical Rectangle Filter for WDM. Mehran University Research Journal of Engineering & Technology, Volume 35, No. 1, pp 1-10.

Guiomar, F.P, Li R, Fludger, Chris, R. S., Carena, A, and C.V. (2016). Hybrid Modulation Formats Enabling Elastic Fixed-Grid. Optical Networks. Journal of Optical Communications and Networking 92-100

Iyer S., and Singh, S.P (2011). Impact of Channel Dynamics, Combined Nonlinearities and ASE Noise on Transmission Performance of All Optical Star WDM Networks. Journal of Scientific Research, Communications and Network, 2011, 3,pp 235-249.

Jain, A. and Kaur, H. (2016). Eliminating Four Wave Mixing with Dynamic Channel Shuffling in DWDM Optical Network. International Journal of Engineering Sciences & Research Technology, Vol. 5(6) pp. 530-536

Javier, M., Ignaciode, M., Ramón, J. Durán, A, Noemí, M., Sandeep, K.S, Admela, J., and Mohit, C. (2018). Artificial intelligence (AI) methods in optical networks: A comprehensive survey. Optical Switching and Networking 28 pp 43-57

Karinou, F., Stojanovic, N., Prodaniuc, C., Agustin, M., Kropp, J., Ledentsov, N.N. (2017). Solutions for 100/400-Gb/s Ethernet systems based on multimode photonic technologies, J.LightwaveTechnol.35(15)(2017)3214-3222.

Kothari S., Jaiswal K., Vijayvargiya, S. and Jabeena, A. (2014). Analysis of Four Wave Mixing in WDM optical fiber systems using Labview. Asian Research Publishing Network (ARPN) Journal of Engineering and Applied Sciences 1234-1242.

Lavingia, A.R., Mehta, V. and Lavingia, K. (2015). Analyzing the Non-Linear Effects in DWDM Optical Network Using MDRZ Modulation Format. National Conference on Recent Research in Engineering and Technology (NCRRET-2015) International 7313; Journal of Advance Engineering and Research Development (IJAER)

Mallick, B., Pradhan, S. and Prasad B. (2016). An Improved Methodology to Optimize Four Wave Mixing Effect in 32*40 Gbps DWDM Optical Systems. International Journal of Innovative Research in Computer and Communication Engineering Vol. 4, Issue 4 6861-6868

Ndujiuba, C.U and John, S N. (2015). Analysis and Applications of Nonlinearities in Optical Fibres in Wavelength Division Multiplexed Systems. International Journal of Optoelectronic Engineering 5(1): 1-10

Paliwal, R. (2017). Enhancing Performance of 10 Gbps DWDM Optical Link for High Speed Optical Communication. International Journal of Innovative Studies in Sciences and Engineering Technology (IJISSET) volume: 3 Issue: 4 pp 30-36

Prabhpreet, K., and Kulwinder, S. (2014). Investigation of Four wave mixing effects using different modulation formats in optical communication system. International Journal of Engineering Research and Applications (IJERA) Vol. 4, Issue 1(Version 2), pp 176-181.

Rottenberg, F., Nguyen T.H., Gorza, S.P., Horlin, F., Louveaux, J. (2017). ML and MAP Phase Noise Estimators for Optical Fiber FBMC-OQAM Systems, in: 2017 IEEE International Conference on Communications (ICC),2017, pp 1-6.

Singh, P. and Singh, N. (2016). Effect of Four Wave Mixing at different Channel Allocation Schemes for DWDM Communication System. International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 4, Pp. 835-840.

Sharma, V. and Kaur, R. (2012). Implementation of DWDM System in the Presence of Four Wave Mixing (FWM) under the Impact of Channel Spacing, Optik International Journal for Light and Electron Optics, Volume 124, No. 17, pp. 3112-3114.

Singh, P.S. and Singh, N. (2007). Nonlinear Effects in Optical Fibres: Origin, Management and Application. Progress in Electromagnetics Research, PIER 73 pp 249-275.

Singh, P. and Singh, N. (2016). Effect of Four Wave Mixing at different Channel Allocation Schemes for DWDM Communication System. International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 4, Pp. 835-840.

Tawade, L., Jagdale, S., Kadbe P. and Deosarkar, S. (2010). Investigation of FWM Effect on BER in WDM Optical Communication System with Binary and Duo-binary Modulation Format. International Journal of Distributed and Parallel Systems (IJDPS) Vol.1, No.2, November 2010. pp 109-116.

Taylor, M.G. (2009). Phase estimation methods for optical coherent detection using digital signal processing, J. Lightwave Technology 27(7) pp 901-914

Waidi, N., Eltaif, T., Mokhtar, M. R., Hamida, B.A (2018). Reduction of Four-Wave Mixing in DWDM System using Electro-Optic Phase Modulator. International Journal of Electrical and Computer Engineering (IJECE) 2384-2389.

Xu, T., Shevchenko, N. A., Lavery, D., Daniel S., Gabriele, L., Alvarado, A., Killey, R. I., and Bayvel, P. (2017). Modulation format dependence of digital nonlinearity compensation performance in optical fibre communication systems. Optics Express Vol. 25, No. 4 3311-3326.

Zibar, D., Piels, M., Jones, R., and Schäeffer, C.G. (2016). Machine learning techniques in optical Communication, J. Lightwave Technology. 34(6) pp 1442-1452.

Zibar, D., Francesco, D.R, Giovanni, B. and Uiara, D. M.C. (2020). Toward Intelligence in Photonic Systems. March 2020 Optics & Photonics News pp 34-41