Visible Light Communications: Vehicular applications

✍ Scribed by Xavier Fernando, Hasan Farahneh

• Publisher: IOP Publishing
• Year: 2020
• Tongue: English
• Leaves: 122
• Series: IOP Series in Emerging Technologies in Optics and Photonics
• Category: Library

✦ Synopsis

A must-read for researchers, graduate students and industry professionals who work in the VLC field, this book investigates the suitability of VLC for vehicular communications from a fundamental wireless communication standpoint. Mathematically accurate channel models are developed, and advanced signal processing approaches to overcome challenges such as sunlight interference, shadowing and fast changing channels are described. Results are verified through simulation with realistic parameters.

✦ Table of Contents

PRELIMS.pdf
Preface
Author biographies
Xavier Fernando
Hasan Farahneh
List of acronyms
List of symbols
CH001.pdf
Chapter 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
1.4.1 IEEE 802.15.7 VLC: modulation schemes and dimming support
1.4.2 Li-Fi
1.4.3 IrDA
1.4.4 IEEE 802.11bb™
1.4.5 Safety concerns of OWC systems
1.5 The architecture of the VLC system
1.5.1 VLC emitter
1.5.2 VLC receiver
1.5.3 VLC channel
1.5.4 Comparison of RF and VLC propagation channels
1.6 Noise and SNR
1.7 Chapter summary
References
CH002.pdf
Chapter 2 Channel modeling for the V2V–VLC system
2.1 Channel modeling for VLC
2.1.1 Indoor optical wireless communication channel models
2.2 Channel modeling for V2V–VLC system
2.2.1 History of channel modeling of vehicular communication
2.3 (2 × 2) MIMO V2V–VLC system model
2.3.1 The V2V–VLC system considerations
2.3.2 System model
2.4 Channel impulse response and transfer function
2.4.1 Impulse response and transfer function of the LOS component
2.4.2 Impulse response and transfer function of the NLOS component
2.4.3 Derivation of NLOS transfer function
2.5 Performance analysis of the V2V–VLC channel model
2.5.1 The received optical power and SNR
2.5.2 Calculating the BER
2.5.3 Time dispersion parameters for the channel
2.6 Simulation and results
2.7 Chapter summary
References
CH003.pdf
Chapter 3 Optical OFDM basics
3.1 OFDM principle
3.1.1 OFDM cyclic prefix
3.2 Optical OFDM
3.3 Related work in adaptive modulation for VLC
3.4 Optical OFDM scheme of a V2V–VLC system
3.4.1 DCO-OFDM modulation scheme
3.4.2 ACO-OFDM modulation scheme
3.5 Performance analysis and bit loading algorithm
3.5.1 SNR estimation of subcarriers using SVD
3.5.2 Adaptive transmission and bit loading scheme
3.6 Results and discussions
3.6.1 Simulation environment
3.6.2 Results and analysis
3.7 Chapter summary
References
CH004.pdf
Chapter 4 Precoder and equalizer in 2 × 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 × 2 MIMO V2V–VLC systems
4.3.1 Investigating the transmitter
4.3.2 Investigating the receiver
4.3.3 Equalization matrix design
4.3.4 Precoding matrix
4.4 Simulation and results
4.5 Chapter summary
References
CH005.pdf
Chapter 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
References
CH006.pdf
Chapter 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
6.4.1 Other noise sources
6.4.2 Performance metrics
6.5 Differential receiver as a denoising scheme to improve the performance of V2V–VLC systems
6.5.1 Differential filtering scheme for 2 × 2 MIMO-V2V–VLC
6.5.2 Signal filtration by differential receiver
6.5.3 Simulation results
6.6 V2V–VLC denoising scheme using machine learning
6.6.1 System model
6.6.2 Machine learning and adaptive filtering
6.6.3 kNN algorithm
6.6.4 Problem classification
6.6.5 Adaptive filtering
6.6.6 k-Nearest neighbour algorithm and distance weighted kNN rule
6.6.7 Simulation results
6.6.8 Execution time
6.7 Chapter summary
References
APP1.pdf
Chapter
References