Optical Review

, Volume 26, Issue 6, pp 631–643 | Cite as

Comparative analysis of MIMO-based FSO and MIMO-based MGDM communications

  • Ichraf Chatti
  • Faîçal BakloutiEmail author
  • Faouzi Chekir
  • Rabah Attia
Regular Paper


The ever-growing need for high data rate, bandwidth efficiency, reliability, less complexity, and less power consumption in the communication systems is on the increase. Modern techniques have to be developed and put in place to meet these requirements. In the last few years, free space optical (FSO) communication systems have attracted considerable research efforts mainly due to their inherent potential transmission capacity, much higher than that offered by radio transmission technologies. However, despite of great potential of FSO communication, its performance is limited by the adverse effects (viz., absorption, scattering, and turbulence) of the atmospheric channel. Different studies on weather conditions and techniques employed to mitigate their effect are studied. On other hand, a MMF network may constitute the backbone network that feeds fixed-wired services (e.g. voice telephony) as well as wireless services (e.g. IEEE 802.x) throughout the building. The large bandwidth makes MMF a very attractive medium for low-cost broadband in building networks, in which several independent sets of services are integrated. In addition, research has shown that compared to conventional single-input single-output (SISO) systems, multiple-input multiple-output (MIMO) can actually increase the data rate of a communication system, without actually requiring more transmit power or bandwidth. In this paper, we develop a comparison between MIMO over multimode fiber (MMF) using MGDM and MIMO based FSO links. The achievable performance improvements, including received power levels, bit error rate (BER), and quality factor (Q-factor) are presented. Numerical results are obtained for single-input single-output (SISO) as well as for multiple-input multiple-output (MIMO) configurations. Simulation results show that MMF outperforms FSO links in terms of max Q-factor, minimum BER, and eye diagram. Seen that the dependence of the FSO system performance on the weather conditions is one of the most significant FSO limitations, we analyze the performance of FSO under clear, haze, and fog conditions using Q-factor, bit error rate (BER), etc., at varied distances. From the results, it can be concluded that as we move from clear weather conditions to haze and fog weather conditions, Q-factor of the received signal decreases.





  1. 1.
    Kilaru, S., Sravani, H.K., Chowdary, A., Balaji, L.T.: Review and analysis of promising technologies with respect to Fifth generation networks. In: IEEE 1st international conference on networks & soft computing (ICNSC), pp. 248–251 (2014)Google Scholar
  2. 2.
    Kanda, A., Jose, S., Gnanasekaran, S.K., Clara, S., Abraham, V.M., Sunnyvale, Q., Saratoga, M.: Method and system for facilitating application-oriented quality of service in a fibre channel network. In: Brocade Communications Systems, San Jose, CA (US), pp. 1–11 (2014)Google Scholar
  3. 3.
    Krishnamoorthy, A.V., Thacker, H.D., Torudbakken, O., Müller, S., Srinivasan, A., Decker, P.J., Opheim, H., Cunningham, J.E., Shubin, I., Zheng, X., Dignum, M., Raj, K., Rongved, E., Penumatcha, R.: From chip to cloud: optical interconnects in engineered systems. J Light Tech 35(15), 3103–3115 (2017)CrossRefGoogle Scholar
  4. 4.
    Sauer, M., Kobyakov, A., George, J.: Radio over fiber for picocellular network architectures. J Lightwave Technol 25(5), 3301–3320 (2007)ADSCrossRefGoogle Scholar
  5. 5.
    Dayoub, I., Zaouche, A., Rouvaen, J.M., Lethien, C., Vilcot, J.P., Decoster, D.: Wireless Systems Radio-optic demonstrator for distributed antenna system indoor wireless applications using low-cost VCSELs. Eur. Trans. Telecommun. 18(7), 811–814 (2007)CrossRefGoogle Scholar
  6. 6.
    Mrabet, H., Attia, R., Dayoub, I.: Chromatic and modal effect of graded-index optical fiber in LAN context. In: Wireless and optical communications conference, IEEE-WOCC’09, 18th annual, Newark (2009)Google Scholar
  7. 7.
    Quandt, B.M., Scherer, L.J., Boesel, L.F., Worlf, M., Bona, G.L., Rossi, R.M.: Body monitoring and health supervision by means of optical fiber based sensing systems in medical textiles. Adv Healthcare Mater 4(3), 330–335 (2015)CrossRefGoogle Scholar
  8. 8.
    El Mashade, M.B., Aly, M.H., Toeima, A.H.: Performance evaluation of FSO system with MIMO technique in different operating environments. Phys. Sci. Int. J. 7, 33–48 (2015)CrossRefGoogle Scholar
  9. 9.
    Rouissat, M., Borsali, R.A., Bled, M.C.: Free space optical channel characterization and modeling with focus on algeria weather conditions, I. J. Comput. Netw. Inf. Secur. 3, 17–23 (2012)Google Scholar
  10. 10.
    Baklouti, F., Dayoub, I., Haxha, S., Attia, R., Aggoun, A.: Novel method for improving the capacity of optical MIMO using MGDM. IEEE Photonics J 6, 6 (2014)CrossRefGoogle Scholar
  11. 11.
    Mrabet, H., Dayoub, I., Attia, R., AL-Holou, N., Tatkeu, C.: Impact of chromatic and modal dispersion on frequency response of optical multimode fibers. In: IEEE symposium on computers and communications. ISCC’09, Sousse, Tunisia, pp 188–194 (2009)Google Scholar
  12. 12.
    Awad, M., Dayoub, I., Okassa, A., Rouvaen, J.M., Vilcot, J.P.: RoF & multi services in single-MMF LAN using mode group diversity multiplexing. In: Pro. 3rd Inter. conference on information and communication technologies: from Theory to Applications, ICTTA'08, Damascus, Syria, pp. 1–6 (2008)Google Scholar
  13. 13.
    Mrabet, H., Attia, R., Dayoub, I.: Influence of wavelength and launching condition on frequency response of optical silica fibers. In: Inter. conference on transparent optical networks, 2nd IEEE-ICTON-MW’08, Marrakech, Morocco, pp. 1–6 (2008)Google Scholar
  14. 14.
    Awad, M., Dayoub, I., MFourat AO, Rouaven JM, : The inter-modes mixing effects in mode group diversity multiplexing. Opt Commun 282(19), 3908–3917 (2009)ADSCrossRefGoogle Scholar
  15. 15.
    Awad, M., Hamouda, W., Dayoub, I.: Throughput Maximization Approach for O-MIMO systems using MGDM Technique. In: IEEE Globecom 2012-optical networks and systems symposium, Anaheim, pp. 2953–2958 (2012)Google Scholar
  16. 16.
    Mrabet, H., Dayoub, I., Attia, R., Hammouda, W.: Wavelength and beam launching effects on silica optical fiber in local area network. J. Opt. Commun. 283(21), 4234–4241 (2010)ADSCrossRefGoogle Scholar
  17. 17.
    Awad, M., Dayoub, I., Hamouda, W., Rouvaen, J.M.: Adaptation of the mode group diversity multiplexing technique for radio signal transmission over multimode fiber. IEEE/OSA J Opt Commun Netw 3(1), 1–9 (2011)CrossRefGoogle Scholar
  18. 18.
    Dayoub, I., Zouin, Y., Okasa M’Foubat, A., Rouvaen, J.M., Vilcot, J.P.: Radio over Fibre networks: Low cost solution for different applications and emerging technologies. Information and communication technologies: from theory to applications (ICTTA’06), Damascus-Syria, pp. 2537–2542 (2006)Google Scholar
  19. 19.
    Alheadry, W.G., Park, K.H., Alfaraj, N., Guo, Y., Stegenburgs, E., Ng, T.K., Ooi, B.S., Alouini, M.S.: Free space optical channel characterization and experimental validation in coastal environment. Opt Express 26, 6 (2018)Google Scholar
  20. 20.
    Rashed, A.N.Z., Tabbour, M.S.F.: Free space optics and submarine laser communication systems for Egyptian climate weather in the presence of atmospheric turbulence. Int J Res Electron Commun Technol (IJRECT) 1(1), 34–40 (2014)Google Scholar
  21. 21.
    Chauhan, N.R., Vola, M.K.: System design and performance analysis of the free space optics (FSO) system im atmospheric turbulences. Int Res J Eng Technol (IJRET) 4(4), 1789–1793 (2017)Google Scholar
  22. 22.
    Soni, G., Bango, V.K.: Performance analysis of free space optics link at different data rates. In: IEEE inter. conference on contemporary computing and informatics (IC3I), Mysore, India, pp 1251–1255 (2014)Google Scholar
  23. 23.
    Samandeep, S., Davinder, S., Bahwna, U.: Performance enhancement of a FSO-based hybrid SAC-OCDMA system-using zero cross correlation code. Int J Electron Commun Technol 5, 108–112 (2014)Google Scholar
  24. 24.
    Sharma, P., Sarangal, H., Malhtra, J.: Detrimental effect of weather conditions on FSO based system survey. Int J Appl Innov Eng Manag (IJAIEM) 4(6), 74–79 (2015)Google Scholar
  25. 25.
    Anis, A.A., Rashidi, C.B.M., Aljunid, S.A., Rahman, A.K.: Evaluation of FSO system availability in haze conditions. In: IOP Conf. series: materials science and engineering, pp. 1–6 (2018)CrossRefGoogle Scholar
  26. 26.
    Singh, M.: Performance analysis of FSO link under different weather conditions and modulation formats. Int J Signal Process Pattern Recogn 9(5), 51–58 (2016)Google Scholar

Copyright information

© The Optical Society of Japan 2019

Authors and Affiliations

  1. 1.University of CarthageSERCOM Laboratory, Tunisia Polytechnic School, EPTTunisTunisia
  2. 2.University of KairouanHigher Institute of Computer Science and ManagementKairouanTunisia

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