Point-to-point channel modelling within offshore wind farms

Joseph Mbogo; Xiao Hong Peng; Zuoyin Tang

doi:10.1007/978-981-13-1165-9_18

Point-to-point channel modelling within offshore wind farms

Joseph Mbogo^*, Xiao Hong Peng, Zuoyin Tang

^*Corresponding author for this work

Adaptive Communications Networks Research Group

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	Advances in Intelligent Systems and Computing
Publisher	Springer
Pages	201-210
Number of pages	10
ISBN (Electronic)	978-981-13-1165-9
ISBN (Print)	978-981-13-1164-2
DOIs	https://doi.org/10.1007/978-981-13-1165-9_18
Publication status	E-pub ahead of print - 29 Sept 2018
Event	Third International Congress on Information and Communication Technology - London, United Kingdom Duration: 27 Feb 2018 → 28 Feb 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	797
ISSN (Print)	2194-5357

Conference

Conference	Third International Congress on Information and Communication Technology
Country/Territory	United Kingdom
City	London
Period	27/02/18 → 28/02/18

Bibliographical note

Keywords

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

Access to Document

10.1007/978-981-13-1165-9_18

Point-to-point channel modelling within offshore wind farms
© Springer Nature Singapore Pte Ltd. 2019
Accepted author manuscript, 542 KB

Cite this

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title = "Point-to-point channel modelling within offshore wind farms",

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.",

keywords = "Channel modelling, Long-range WLAN, Maritime communications, Sea surface reflections, Spatial diversity",

author = "Joseph Mbogo and Peng, {Xiao Hong} and Zuoyin Tang",

note = "{\textcopyright} Springer Nature Singapore Pte Ltd. 2019; Third International Congress on Information and Communication Technology ; Conference date: 27-02-2018 Through 28-02-2018",

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doi = "10.1007/978-981-13-1165-9_18",

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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

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AU - Mbogo, Joseph

AU - Peng, Xiao Hong

AU - Tang, Zuoyin

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PY - 2018/9/29

Y1 - 2018/9/29

N2 - 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.

AB - 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.

KW - Channel modelling

KW - Long-range WLAN

KW - Maritime communications

KW - Sea surface reflections

KW - Spatial diversity

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SN - 978-981-13-1164-2

T3 - Advances in Intelligent Systems and Computing

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BT - Advances in Intelligent Systems and Computing

PB - Springer

T2 - Third International Congress on Information and Communication Technology

Y2 - 27 February 2018 through 28 February 2018

ER -

Point-to-point channel modelling within offshore wind farms

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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