Tolerance of 16-Channel Dense Wavelength Division Multiplexing System to Fibre Dispersion and Four-Wave Mixing under Varying Capacities and Channel Spacing



Abstract Views
294

Downloads
262

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Dec 14, 2021
Published Feb 14, 2022
10.24018/ejece.2022.6.1.382

Abstract viewed = 294 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

An essential feature of a long-haul Optical Communication System (OCS) is to transmit huge volumes of data over long distances. In OCS, fiber dispersion and Four-Wave Mixing (FWM) play negative roles in achieving this, as the propagation of the light signal, associated with the pulse, travels at varying speeds. Dense Wavelength Division Multiplexing (DWDM) system is not spared from these identified limitations.  In this work, a mathematical analysis for the dispersion and FWM was presented and validated through simulation software. The research was designed and implemented using an optical simulation software tool, OptiSystem 17.0. Transmission parameters of dispersion and Nonlinear (NL) effects due to refractive index, FWM, were considered.  The research was carried out on a 125 km-long fiber link and was investigated under a 16-channel DWDM system. The effects of identified limitations on the performance of the DWDM system with channel arrangement of 100, 50, and 25 GHz were further explored. This work compared the DWDM system under these different channel arrangements.  The transmission performance of the DWDM system was evaluated based on signal power, noise power, and eye pattern. The results obtained show that any increase in capacity causes significant decreases in the performance of the DWDM system. It was, however, noted that noise power is independent of an increase in bit rate. The results obtained further revealled that the launched power of the system must be reduced for better performance of the DWDM system and improved immunity against identified limitations.

Keywords: Dense Wavelength Division Multiplexing (DWDM), Fibre Dispersion, Four-Wave Mixing (FWM), Optical Communication System (OCS)

Downloads

Download data is not yet available.

References

  1. Hiroshama N, Urvashi J, Vivekanand M. Performance investigation of kerr effects on to wdm fiber optical networks. IEEE International Conference on Recent Trends in Electronics Information Communication Technology, India May 20-21, 2017, pp. 2018-2022.
     Google Scholar
  2. Abolade RO, Tooki OO, and Aborisade DO. Review article on the mitigation of four-wave mixing in optical communication system, FUTA Journal of Engineering and Engineering Technology, April 2021;15(1):53-65. doi:10.51459/futajeet.2021.15.1.266.
     Google Scholar
  3. Ali F, Fazal M, Habib U, Khan Y, and Usman M. Modeling and minimization of fwm effects in dwdm based long haul optical communication systems. Photonic Network Communications. Springer, September 2020;13:1-11. doi: 10.1007/s11107-020-00913-9.
     Google Scholar
  4. Satoshi Y, Yujia S, Zhixin L, Kyle RH, Bottrill FP, David J R, and Periklis P. Mitigation of nonlinear effects on wdm qam signals enabled by optical phase conjugation with efficient bandwidth utilization. IEEE: Journal of Lightwave Technology, June 2016;17:1-8. doi: 10.1109/JLT.2016.2623740.
     Google Scholar
  5. Ali F, Khan Y, Qureshi SS. Transmission performance comparison of 16*100 Gbps dense wavelength division multiplexed long haul optical networks at different advanced modulation formats under the influence of nonlinear impairments. Journal of Optical Communication, December 2018;10(2):165-172. doi:10.1515/joc-2018-0185.
     Google Scholar
  6. Jameel A, Hussaina A, Adeela F, Siyal MY, and Chongxiu Y. Optical signal processing using four wave mixing in highly nonlinear silicon nano-wire, Optik, October 2012;124: 3439?3442. doi:10.1016/j.ijleo.2012.10.030 Available: www.elsevier.de/ijleo.
     Google Scholar
  7. Dagar A, Dixit A, Kumar A and Kaur. Dispersion compensation in a 64-channel dense wavelength division multiplexing network. IEEE Xplore: Proceedings of the 4th International Conference on Intelligent Computing and Control Systems 13-15 May 2020. doi: 10.1109/ICICCS48265.2020.9121140.
     Google Scholar
  8. Amiri I, Yupapin P, and Ahmed NZR. Mathematical model analysis of dispersion and loss in photonic crystal fibers. Journal of Optical Communication, March 2019;12:1-6. doi: 10.1515/joc-2019-0052.
     Google Scholar
  9. Agrawal GP. Nonlinear Fiber Optics, 4th ed. Academic Press, San Diego, USA, 2007, ch. 1, pp. 11-33.
     Google Scholar
  10. Keiser G, Optical fibre communications 2nd ed. McGraw-Hill Inc. Publisher Indian 1991 ch. 10, pp. 321-339.
     Google Scholar
  11. Lowery AJ, Du LB, and Armstrong J. Performance of optical ofdm in ultralong-haul WDM lightwave systems. IEEE: Journal of Lightwave Technology, January 2007;25(1):131-138.
     Google Scholar
  12. Sharan L, Shanbhag AG, and Chaubey VK. Design and simulation of modified duobinary modulated 40 Gbps 32 channel DWDM optical link for improved nonlinear performance. Cogent Engineering Journal, November 2016;3:1-12.doi:10.1080/23311916.2016.1256562.
     Google Scholar
  13. Irfan M, Ali F, Muhammad F, Habib U, Alwadie AS, Glowacz A, et al. DSP-Assisted Nonlinear Impairments Tolerant 100 Gbps Optical Backhaul Network for Long-Haul Transmission. Entropy MDPI pp. 1-15 September 2020. doi:10.3390/e22091062.
     Google Scholar
  14. Huszan?k T, Tur?n J, and Ovsen?k L. On the carrier suppressed optical modulation methods for high capacity dwdm systems. IEEE 15th International Scientific Conference on Informatics, November 20-22, 2019 Poprad, Slovakia. doi: 10.1109/Informatics47936.2019.911925.
     Google Scholar
  15. Pallavi GP, Guan P, Li L, Lakoba TI, et al. Recent progress on optical regeneration of wavelength-division-multiplexed Data. IEEE Journal of Selected Topics in Quantum Electronics, March/April 2021;27(2).
     Google Scholar