TY  - BOOK
AU  - Fernando,Xavier N.
AU  - Farahneh,Hasan
ED  - Institute of Physics (Great Britain),
TI  - Visible light communications: vehicular applications 
T2  - [IOP release $release]
SN  - 9780750360494
AV  - TK5103.59 .F478 2024eb
PY  - 2024///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Optical communications
KW  - Vehicular ad hoc networks (Computer networks)
KW  - Optical physics
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Optics
KW  - bisacsh
N1  - "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 summary; 2. 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 summary; 3. Impacts of directional propagation -- 3.1. Traffic light-to-vehicle communication scenario -- 3.2. Shadowing effects -- 3.3. Chapter summary; 4. 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 summary; 5. 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 summary; 6. 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 summary; 7. 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 summary; 8. 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; Professional and scholarly; Also available in print
N2  - 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
UR  - https://iopscience.iop.org/book/mono/978-0-7503-6049-4
ER  -