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Visible Light Communications : Vehicular Applications / Xavier Fernando and Hasan Farahneh.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Fernando, Xavier N., author.
Farahneh, Hasan, author.
Contributor:
Institute of Physics (Great Britain), publisher.
Series:
IOP series in emerging technologies in optics and photonics.
IOP Series in Emerging Technologies in Optics and Photonics Series
Language:
English
Subjects (All):
Optical communications.
Physical Description:
1 online resource (various pagings) : illustrations (some color).
Edition:
First edition.
Place of Publication:
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2020]
System Details:
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Biography/History:
Xavier Fernando is a Professor at the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has co-authored over 200 research articles, three books and holds three patents. He has won 30 awards and prizes including, Professional Engineers Ontario Award in 2016; IEEE Microwave Theory and Techniques Society Prize in 2010, Sarnoff Symposium Prize in 2009, Opto-Canada best poster prize in 2003 and CCECE best paper prize in 2001. Hasan Farahneh received his PhD degree from Ryerson University, Toronto, Canada in 2018. In September 2019, he joined the Electrical Engineering Department at the University of Jordan as a teaching staff member. His research interests include wireless and visible light communication. His current research is focused on vehicular communication using visible light spectrum.
Summary:
Visible light communication (VLC) has emerged as an attractive alternative to radio frequency (RF) communication, due to its abundant, license free bandwidth and cost-effectiveness. The visible light spectrum is much larger than the entire RF spectrum, and largely unexplored. VLC has proved its viability in automotive applications to provide short range vehicle-to-vehicle and vehicle-to-infrastructure communications due to increased deployment of LED lights and image sensors in modern vehicles. However, there are a few challenges, described in this book, that need to be addressed before global adaptation. VLC can be a blessing for intelligent transportation systems and autonomous vehicles. This book stands out as a must-read for researchers, graduate students and industry professionals who work in the VLC field. Part of IOP Series in Emerging Technologies in Optics and Photonics.
Contents:
1. Introduction
1.1. Optical wireless communication
1.2. VLC in autonomous vehicles and ITS
1.3. Research in the usage of VLC in AV and ITS
1.4. Standardization efforts
1.5. The architecture of the VLC system
1.6. Noise and SNR
1.7. Chapter summary
2. Channel modeling for the V2V-VLC system
2.1. Channel modeling for VLC
2.2. Channel modeling for V2V-VLC system
2.3. (2 x 2) MIMO V2V-VLC system model
2.4. Channel impulse response and transfer function
2.5. Performance analysis of the V2V-VLC channel model
2.6. Simulation and results
2.7. Chapter summary
3. Optical OFDM basics
3.1. OFDM principle
3.2. Optical OFDM
3.3. Related work in adaptive modulation for VLC
3.4. Optical OFDM scheme of a V2V-VLC system
3.5. Performance analysis and bit loading algorithm
3.6. Results and discussions
3.7. Chapter summary
4. Precoder and equalizer in 2 x 2 MIMO VLC systems
4.1. Related work in precoding and equalization for VLC
4.2. Dimming control technique and its performance in VLC systems
4.3. Precoder and equalizer in 2 x 2 MIMO V2V-VLC systems
4.4. Simulation and results
4.5. Chapter summary
5. Shadowing effects on visible light communication
5.1. Shadowing in VLC
5.2. Channel impulse response with shadowing
5.3. Shadowing effect
5.4. Error probability
5.5. Simulations
5.6. Chapter summary
6. Sunlight effect on V2V-VLC system and denoising schemes
6.1. Solar irradiance
6..2 SNR of V2V-VLC system
6.3. Related work in denoising schemes for VLC
6.4. Noise calculations
6.5. Differential receiver as a denoising scheme to improve the performance of V2V-VLC systems
6.6. V2V-VLC denoising scheme using machine learning
6.7. Chapter summary
Appendix A. Certain VLC terminologies.
Notes:
"Version: 20191101"--Title page verso.
Includes bibliographical references.
Title from PDF title page (viewed on December 9, 2019).
Description based on print version record.
ISBN:
9780750322836
0750322837
9780750322843
0750322845
OCLC:
1130295060

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