scispace - formally typeset
Open AccessBook

Optical Wireless Communications: System and Channel Modelling with MATLAB®

Reads0
Chats0
TLDR
The authors highlight past and current research activities to illustrate optical sources, transmitters, detectors, receivers, and other devices used in optical wireless communications and describe techniques for using theoretical analysis and simulation to mitigate channel impact on system performance.
Abstract
Detailing a systems approach, Optical Wireless Communications: System and Channel Modelling with MATLAB, is a self-contained volume that concisely and comprehensively covers the theory and technology of optical wireless communications systems (OWC) in a way that is suitable for undergraduate and graduate-level students, as well as researchers and professional engineers. Incorporating MATLAB throughout, the authors highlight past and current research activities to illustrate optical sources, transmitters, detectors, receivers, and other devices used in optical wireless communications. They also discuss both indoor and outdoor environments, discussing how different factorsincluding various channel modelsaffect system performance and mitigation techniques. In addition, this book broadly covers crucial aspects of OWC systems: Fundamental principles of OWC Devices and systems Modulation techniques and schemes (including polarization shift keying) Channel models and system performance analysis Emerging visible light communications Terrestrial free space optics communication Use of infrared in indoor OWC One entire chapter explores the emerging field of visible light communications, and others describe techniques for using theoretical analysis and simulation to mitigate channel impact on system performance. Additional topics include wavelet denoising, artificial neural networks, and spatial diversity. Content also covers different challenges encountered in OWC, as well as outlining possible solutions and current research trends. A major attraction of the book is the presentation of MATLAB simulations and codes, which enable readers to execute extensive simulations and better understand OWC in general.

read more

Citations
More filters
Journal ArticleDOI

BER Performance Analysis for Downlink Nonorthogonal Multiple Access With Error Propagation Mitigated Method in Visible Light Communications

TL;DR: In this paper, the authors derived closed-form expressions of the bit error rate (BER) for the two-user case with on-off keying, and further extended to the multi-user scenario.
Proceedings ArticleDOI

Performance analysis of SIM based FSO using various modulation techniques with APD receiver over turbulent channel

TL;DR: In this article, a theoretical analysis on various subcarrier-intensity modulation (SIM) based techniques employed for free space optical wireless communication systems (FSO) is carried out to get more appropriate analysis of the system bit error rate (BER) performance.
Proceedings ArticleDOI

Generalization of Space-Time Block Coded-Spatial Modulation for High Data Rate VLC Systems (Invited Paper)

TL;DR: STBC-MASM improves the overall system performance compared to MASM with a considerably simplified detection and a simplified version of the joint maximum likelihood (ML) detector is proposed which has a linear complexity with respect to the number of transmit LEDs and the constellation size.
Proceedings ArticleDOI

Experimental Demonstration of IEEE 802.15.7 MAC Layer in Visible Light Communication Sensor Network

TL;DR: The experimental results show that fairness is not met in the medium access control (MAC)layer performance of the IEEE 802.15.7 standard and by increasing the number of nodes in the network the throughput is decreased.
Proceedings ArticleDOI

Sparse Bayesian RVM regression based channel estimation for IM/DD OFDM-VLC systems with reduced training overhead

TL;DR: A novel channel estimation technique for intensity modulation/direct detection (IM/DD) based orthogonal frequency division multiplexing visible light communication (OFDM-VLC) systems, utilizing sparse Bayesian dual-variate relevance vector machine (RVM) regression.
Related Papers (5)