Visible light communications :vehicular applications /

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"Version: 20241201"--Title page verso.Includes bibliographical references.1. Introduction -- 1.1. Optical wireless communication -- 1.2. VLC for intelligent transportation -- 1.3. AI-based V2X VLC communications -- 1.4. The autonomous vehicle -- 1.5. VLC/OWC communications to flying objects -- 1.6. VLC V2X research directions -- 1.7. Chapter summary2. Nuts and bolts of V2X VLC systems -- 2.1. VLC basics -- 2.2. VLC emitter -- 2.3. VLC receiver -- 2.4. VLC channel -- 2.5. Comparison of VLC and RF-based V2X communications -- 2.6. VLC advantages and drawbacks -- 2.7. Safety concerns of OWC systems -- 2.8. An example collision avoidance system -- 2.9. Chapter summary3. Impacts of directional propagation -- 3.1. Traffic light-to-vehicle communication scenario -- 3.2. Shadowing effects -- 3.3. Chapter summary4. Channel modeling for V2V-VLC system -- 4.1. Channel modeling for VLC -- 4.2. Indoor VLC channel models -- 4.3. Outdoor V2V-VLC channel modeling -- 4.4. Channel impulse response and transfer function -- 4.5. Performance analysis of the V2V-VLC channel model -- 4.6. Simulation and results -- 4.7. Chapter summary5. Adaptive optical OFDM for V2X communications -- 5.1. The OFDM principle -- 5.2. Optical (unipolar) OFDM -- 5.3. Related work in adaptive modulation for VLC -- 5.4. Optical OFDM scheme of a V2V-VLC system -- 5.5. Performance analysis and bit-loading algorithm -- 5.6. Results and discussions -- 5.7. Chapter summary6. Precoder and equalizer in 2 x 2 MIMO-VLC systems -- 6.1. Precoding basics -- 6.2. Precoding and equalization for VLC -- 6.3. Precoder and equalizer in 2 x 2 MIMO V2V-VLC systems -- 6.4. Simulation and results -- 6.5. Chapter summary7. Sunlight effects and denoising schemes -- 7.1. Solar irradiance -- 7.2. SNR of V2V-VLC system -- 7.3. Related work in denoising schemes for VLC -- 7.4. Noise calculations -- 7.5. Differential receiver as a denoising scheme to improve the performance of V2V-VLC Systems -- 7.6. Denoising of V2V-VLC systems using machine learning -- 7.7. Chapter summary8. Hybrid channel-based foglet-assisted smart asset reporting -- 8.1. Introduction -- 8.2. System model -- 8.3. Performance analysis -- 8.4. Results and discussion -- 8.5. Chapter summary.Full-text restricted to subscribers or individual document purchasers.The book focuses on the innovative application of Visible Light Communication (VLC) within the realm of vehicular networks to enhance autonomous driving and intelligent transportation systems (ITS). The purpose is to explore how VLC can facilitate high-speed wireless data transmission using the visible spectrum of light, which promises a huge bandwidth, low confinement, and usage of existing LED head/taillights. Advance topics such as MIMO, Optical OFDM, PrecodingEqualization and adaptive noise cancellation are studied in detail in the realms of VLC. Furthermore, it examines the potential of VLC to complement existing communication Cellular V2X standards in scenarios demanding low latency and high reliability. The integration of Artificial Intelligence (AI) and Machine Learning (ML) in VLC systems are also explored. Part of IOP Series in Emerging Technologies in Optics and Photonics.Professional and scholarly.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Xavier Fernando is a Professor at Toronto Metropolitan University (TMU), Toronto, Canada. He has (co)authored over 200 research articles, three books (one translated to Mandarin) and holds three patents. He is the Director of TMU Intelligent Communications and Computing Lab that has received total research funding of over $5 Million since 2008 from industry and government. His research interests are in optical and wireless communications. He is a senior member of IEEE, and he was an Associate Editor for the IEEE IOT Journal. He was an IEEE Communications Society Distinguished Lecturer and delivered over 80 invited talks. He has chaired the IEEE Toronto Section (2012-13) and IEEE Canada Central Area (2016-17) serving the IEEE Region-7 Board. Currently he serves as the IEEE Canada (Region-7) Vitality Coordinator. His work has won 30 awards and prizes so far including a number of IEEE awards, 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. TMU nominated him for the Top 25 Canadian Immigrants award in 2012 in which was a finalist. He has been in the organizing/steering/technical program committees of numerous conferences and journals. He was the General Chair for the IEEE International Humanitarian Technology Conference (IHTC) 2017 and IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) 2014. He was a Member of Board of Governors of TMU (formerly Ryerson University) during 2011- 12. He is a program evaluator for ABET (USA). He was a visiting scholar at the Institute of Advanced Telecommunications (IAT), UK in 2008 and MAPNET Fellow visiting Aston University, UK in 2014. Hasan Farahneh is a professor at the department of Electrical Engineering, School of Engineering, University of Jordan, Amman, Jordan since 2004. He has (co)authored over 30 research articles and two books. His research interests are in optical wireless communications. He is a senior member of IEEE. He has been in the organizing/steering/technical program committees of numerous conferences and journals. He was a visiting scholar at many European Institutes through the Erasmus program of visible light communication.Title from PDF title page (viewed on January 17, 2025).

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Series Title

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Call Number

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Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750360494

Classification

621.3827

Content Type

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-

Carrier Type

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Edition

Second edition.

Subject(s)

Optical physics.
TECHNOLOGY & ENGINEERING / Optics.
Optical communications.
Vehicular ad hoc networks (Computer networks)

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Statement of Responsibility

Xavier Fernando, Hasan Farahneh.

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