Point-to-Point Channel Modelling Within Offshore Wind Farms

  • Joseph MbogoEmail author
  • Xiao-Hong PengEmail author
  • Zuoyin TangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)


From the perspective of several measurement campaigns in the offshore environment, it has been reported that the sea surface reflections are the main source of fading. We present a novel solution to this problem, by investigating the analytical implications of the propagation model which best fits the offshore channel characteristics. We also present a novel and yet simple implementation of receiver diversity which can mitigate the fading caused by sea surface reflections and ensure that the link is always steady even under extreme turbulent conditions.


Maritime communications Sea surface reflections Channel modelling Long-range WLAN Spatial diversity 


  1. 1.
    Agarwal D, Kishor N (2014) Network lifetime enhanced tri-level clustering and routing protocol for monitoring of offshore wind farms. IET Wirel Sens Syst 4(2):69–79CrossRefGoogle Scholar
  2. 2.
    Reyes-Guerrero JC et al (2012) Measuring and estimating the propagation path loss and shadowing effects for marine wireless sensor networks at 5.8 GHZ. In: 20th telecommunications forum TELFOR 2012, pp 323–326Google Scholar
  3. 3.
    ITU (1986) Reflection from the surface of the Earth. ITU REP. 1008-1. ITU, pp 75–82Google Scholar
  4. 4.
    Macmillan A et al (2010) Slow frequency Hopping for mitigating tidal fading on rural long distance over-water wireless links. INFOCOM IEEE conference on computer communications workshops. San Diego, USA, pp 1–5Google Scholar
  5. 5.
    Gordon AL et al (2018) Tide Physics URL Online Accessed 7th Jan 2017
  6. 6.
    Doong D, Wu L (2010) Searching for freak waves from in-situ buoy measurements. In: IEEE conferences oceans 2010 IEEE, Sydney, pp 1–6.
  7. 7.
    Lee YH, Meng YS (2015) Key considerations in the modeling of tropical maritime microwave attenuations. Int J Antennas Propag, Article ID 246793:1–7Google Scholar
  8. 8.
    Salehinejad H et al (2012) PPM-UWB channel modeling for SCADA communications. In: Offshore wind farms Iranian conference on smart grids, pp 1–6Google Scholar
  9. 9.
    Anaya-Lara O et al (2006) Communications requirements and technology for wind farm operation and maintenance. In: First international conference on industrial and information systems, pp 173–178Google Scholar
  10. 10.
    Hussain S, Kim Y (2015) Simulation studies of resilient communication network architecture for monitoring and control wind power farms. In: International conference on advanced communication technology (ICACT), pp 653–658Google Scholar
  11. 11.
    Hussain S, Kim Y (2016) Fault resilient communication network architecture for monitoring and control of wind power farms. In: 18th international conference on advanced communication technology (ICACT), pp 685–692Google Scholar
  12. 12.
    Garroppo RG et al (2009) Experimental and simulation study of a WiMAX system in the sea port scenario. In: Proceedings of IEEE international conference on communications, pp 1–5Google Scholar
  13. 13.
    Reyes-Guerrero JC et al (2011) Buoy-to-ship experimental measurements over sea at 5.8 GHz near urban environments. In: Proceedings of IEEE 11th mediterranean microwave symposium (MMS), pp 320–324Google Scholar
  14. 14.
    Goldsmith A (2005) Path loss and shadowing. Cambridge University Press, Wireless communications. Cambridge, pp 30–31Google Scholar
  15. 15.
    Ferrand P, Yang S (2016) Blind precoding in line-of-sight MIMO channels. In: 2016 IEEE 17th international workshop on signal processing advances in wireless communications (SPAWC), pp 1–5Google Scholar
  16. 16.
    Garcia-Lopez J, Ferrandiz J, Selga J (1982) Design of hybrid diversity on overwater paths. IET J Mag Electron Lett 18(10):420–422CrossRefGoogle Scholar
  17. 17.
    Sarris I, Nix A (2007) Design and performance assessment of high-capacity MIMO architectures in the presence of a line-of-sight component. IEEE Trans Veh Technol 56(4):2194–2202CrossRefGoogle Scholar
  18. 18.
    Alamouti S (1998) A simple transmit diversity technique for wireless communications. IEEE J Sel Areas Commun 1451–1458CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Engineering & Applied ScienceAston UniversityBirminghamUK

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