Visible Light Communications (Second Edition) : Vehicular Applications.

Format:

Book

Author/Creator:

Fernando, Xavier.

Contributor:

Farahneh, Hasan.

Series:

IOP Series in Emerging Technologies in Optics and Photonics Series

Language:

English

Subjects (All):

Optical communications.

Intelligent transportation systems.

Physical Description:

1 online resource (169 pages)

Edition:

2nd ed.

Place of Publication:

Bristol : Institute of Physics Publishing, 2024.

Summary:

The book explores the innovative application of Visible Light Communication (VLC) in enhancing autonomous vehicles and intelligent transportation systems, emphasizing the integration of AI and Machine Learning to improve communication and safety in vehicular networks. It dissects the architecture, performance analysis, and future challenges of VLC technology while highlighting its potential to complement existing communication standards in real-time vehicular scenarios.

Contents:

Intro

Acknowledgements

Author biographies

Xavier Fernando

Hasan Farahneh

List of acronyms

Chapter Introduction

1.1 Optical wireless communication

1.1.1 Cellular V2X for intelligent transportation systems

1.1.2 Visible light technology in V2X communications

1.2 VLC for intelligent transportation

1.2.1 VLC in the ITS/state of the art

1.3 AI-based V2X VLC communications

1.4 The autonomous vehicle

1.4.1 The role of visible light in AVs

1.5 VLC/OWC communications to flying objects

1.5.1 VLC/OWC for UAV-enhanced IoV

1.5.2 VLC/OWC for UAV-LEO satellite communications

1.5.3 AI-enhanced UAV-satellite communications

1.6 VLC V2X research directions

1.7 Chapter summary

References

Chapter Nuts and bolts of V2X VLC systems

2.1 VLC basics

2.1.1 Visible light terminology

2.2 VLC emitter

2.2.1 LED or laser transmitter

2.3 VLC receiver

2.3.1 Image sensors as VLC receivers

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

2.8.1 Proposed system

2.8.2 Design of algorithm

2.8.3 Simulation and results

2.9 Chapter summary

Chapter Impacts of directional propagation

3.1 Traffic light-to-vehicle communication scenario

3.1.1 Novel potential improvements

3.2 Shadowing effects

3.2.1 Bimodal Gaussian reception

3.2.2 Channel impulse response with shadowing

3.2.3 Power spectral density of the received signal

3.2.4 Error probabilities with and without shadowing

Impacts of shadowing summary

3.3 Chapter summary

Chapter Channel modeling for V2V-VLC system

4.1 Channel modeling for VLC

4.1.1 Intensity modulation and direct detection (IM/DD)

4.2 Indoor VLC channel models.

4.2.1 LoS propagation model

4.2.2 NLoS propagation model

4.2.3 Ceiling bounce model

4.2.4 Spherical model

4.3 Outdoor V2V-VLC channel modeling

4.3.1 History of channel modeling of vehicular communication

4.3.2 2 × 2 MIMO V2V-VLC system model

4.3.3 The V2V-VLC system considerations

4.3.4 System description

4.4 Channel impulse response and transfer function

4.4.1 Impulse response and transfer function of the LoS component

4.4.2 Impulse response and transfer function of the NLoS component

4.4.3 Derivation of NLoS transfer function

4.5 Performance analysis of the V2V-VLC channel model

4.5.1 The received optical power and SNR

4.5.2 Calculating the BER

4.5.3 Time dispersion parameters for the channel

4.6 Simulation and results

4.7 Chapter summary

Chapter Adaptive optical OFDM for V2X communications

5.1 The OFDM principle

Cyclic prefix

5.2 Optical (unipolar) OFDM

5.3 Related work in adaptive modulation for VLC

5.4 Optical OFDM scheme of a V2V-VLC system

5.4.1 DCO-OFDM modulation scheme

5.4.2 ACO-OFDM modulation scheme

5.5 Performance analysis and bit-loading algorithm

5.5.1 SNR estimation of subcarriers using singular value decomposition (SVD)

5.5.2 Adaptive transmission and bit-loading scheme

5.6 Results and discussions

5.6.1 Simulation environment

5.6.2 Results and analysis

5.7 Chapter summary

Chapter Precoder and equalizer in 2 × 2 MIMO-VLC systems

6.1 Precoding basics

6.1.1 Zero forcing

6.1.2 Minimum mean square error

6.1.3 Maximum likelihood

6.2 Precoding and equalization for VLC

6.2.1 Related work

6.2.2 Dimming control technique and its performance in VLC systems

6.3 Precoder and equalizer in 2 × 2 MIMO V2V-VLC systems

6.3.1 Investigating the transmitter

6.3.2 Investigating the receiver.

6.3.3 Equalization matrix design

6.3.4 Precoding matrix

6.4 Simulation and results

6.5 Chapter summary

Chapter 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

7.4.1 Other noise sources

7.4.2 Performance metrics

7.5 Differential receiver as a denoising scheme to improve the performance of V2V-VLC Systems

7.5.1 Differential filtering scheme for 2 × 2 MIMO-V2V-VLC

7.5.2 Signal filtration by differential receiver

7.5.3 Simulation results

7.6 Denoising of V2V-VLC systems using machine learning

7.6.1 System model

7.6.2 Machine learning and adaptive filtering

7.6.3 Why kNN algorithm

7.6.4 Problem classification

7.6.5 Adaptive filtering

7.6.6 k-nearest neighbour algorithm and distance weighted kNN rule

7.6.7 Simulation results

7.6.8 Execution time

7.7 Chapter summary

Chapter Hybrid channel-based foglet-assisted smart asset reporting

8.1 Introduction

8.2 System model

8.2.1 VLC channel between the vehicle and the foglets

8.2.2 Radio frequency link

8.3 Performance analysis

8.4 Results and discussion

8.5 Chapter summary

References.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9780750360517

0750360518

OCLC:

1543206851