Point-to-point channel modelling within offshore wind farms

Joseph Mbogo*, Xiao Hong Peng, Zuoyin Tang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer
Pages201-210
Number of pages10
ISBN (Electronic)978-981-13-1165-9
ISBN (Print)978-981-13-1164-2
DOIs
Publication statusE-pub ahead of print - 29 Sep 2018
EventThird International Congress on Information and Communication Technology - London, United Kingdom
Duration: 27 Feb 201828 Feb 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume797
ISSN (Print)2194-5357

Conference

ConferenceThird International Congress on Information and Communication Technology
CountryUnited Kingdom
CityLondon
Period27/02/1828/02/18

Fingerprint

Offshore wind farms
Telecommunication links

Bibliographical note

© Springer Nature Singapore Pte Ltd. 2019

Keywords

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

Cite this

Mbogo, J., Peng, X. H., & Tang, Z. (2018). Point-to-point channel modelling within offshore wind farms. In Advances in Intelligent Systems and Computing (pp. 201-210). (Advances in Intelligent Systems and Computing; Vol. 797). Springer. https://doi.org/10.1007/978-981-13-1165-9_18
Mbogo, Joseph ; Peng, Xiao Hong ; Tang, Zuoyin. / Point-to-point channel modelling within offshore wind farms. Advances in Intelligent Systems and Computing. Springer, 2018. pp. 201-210 (Advances in Intelligent Systems and Computing).
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Mbogo, J, Peng, XH & Tang, Z 2018, Point-to-point channel modelling within offshore wind farms. in Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol. 797, Springer, pp. 201-210, Third International Congress on Information and Communication Technology, London, United Kingdom, 27/02/18. https://doi.org/10.1007/978-981-13-1165-9_18

Point-to-point channel modelling within offshore wind farms. / Mbogo, Joseph; Peng, Xiao Hong; Tang, Zuoyin.

Advances in Intelligent Systems and Computing. Springer, 2018. p. 201-210 (Advances in Intelligent Systems and Computing; Vol. 797).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Mbogo J, Peng XH, Tang Z. Point-to-point channel modelling within offshore wind farms. In Advances in Intelligent Systems and Computing. Springer. 2018. p. 201-210. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-1165-9_18