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Book
Visible Light Communication (VLC)
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Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Visible light communication (VLC) using light-emitting diodes (LEDs) or laser diodes (LDs) has been envisioned as one of the key enabling technologies for 6G and Internet of Things (IoT) systems, owing to its appealing advantages, including abundant and unregulated spectrum resources, no electromagnetic interference (EMI) radiation and high security. However, despite its many advantages, VLC faces several technical challenges, such as the limited bandwidth and severe nonlinearity of opto-electronic devices, link blockage and user mobility. Therefore, significant efforts are needed from the global VLC community to develop VLC technology further. This Special Issue, “Visible Light Communication (VLC)”, provides an opportunity for global researchers to share their new ideas and cutting-edge techniques to address the above-mentioned challenges. The 16 papers published in this Special Issue represent the fascinating progress of VLC in various contexts, including general indoor and underwater scenarios, and the emerging application of machine learning/artificial intelligence (ML/AI) techniques in VLC.

Keywords

Technology: general issues --- History of engineering & technology --- visible light communication (VLC) --- dimming control --- constant transmission efficiency --- error performance --- light-emitting diode (LED) --- visible light communications --- deep learning --- bit error rate --- orthogonal frequency division multiplexing --- index modulation --- POF --- FSO --- LiFi --- LED --- orthogonal frequency division multiplexing (OFDM) --- power efficiency --- peak-to-average-power ratio (PAPR) --- pre-distorted enhanced --- underwater optical wireless communication (UOWC) --- ADO-OFDM --- gamma-gamma function --- full-duplex --- long-reach --- photon counting --- vehicular visible light communication (VVLC) --- intelligent reflecting surface (IRS) --- the number of mirrors --- energy efficiency (EE) --- carrierless amplitude and phase (CAP) modulation --- pairwise coding (PWC) --- dual-mode index modulation (DM) --- chaotic encryption --- visible light positioning (VLP) --- free-space communication --- RGB LED --- non-orthogonal multiple access (NOMA) --- superposition constellation adjustment --- successive interference cancellation --- bit error ratio --- NOMA triangle --- underwater wireless optical communication --- temporal dispersion --- bandwidth limitation --- Monte Carlo method --- maximum likelihood sequence estimation --- visible light communication --- nonlinear equalization --- reservoir computing --- neural network (NN) --- autoencoder (AE) --- transceiver design --- nonlinearity --- VLC --- predistortion --- coefficient approximation --- BLSTM --- orthogonal frequency-division multiplexing --- sampling frequency offset --- visible light communications (VLC) --- mmWave communications --- channel modeling --- channel propagation characteristics --- path loss --- delay spread (DS) --- Ricean K-factor --- cluster characteristics --- visible light communication (VLC) --- dimming control --- constant transmission efficiency --- error performance --- light-emitting diode (LED) --- visible light communications --- deep learning --- bit error rate --- orthogonal frequency division multiplexing --- index modulation --- POF --- FSO --- LiFi --- LED --- orthogonal frequency division multiplexing (OFDM) --- power efficiency --- peak-to-average-power ratio (PAPR) --- pre-distorted enhanced --- underwater optical wireless communication (UOWC) --- ADO-OFDM --- gamma-gamma function --- full-duplex --- long-reach --- photon counting --- vehicular visible light communication (VVLC) --- intelligent reflecting surface (IRS) --- the number of mirrors --- energy efficiency (EE) --- carrierless amplitude and phase (CAP) modulation --- pairwise coding (PWC) --- dual-mode index modulation (DM) --- chaotic encryption --- visible light positioning (VLP) --- free-space communication --- RGB LED --- non-orthogonal multiple access (NOMA) --- superposition constellation adjustment --- successive interference cancellation --- bit error ratio --- NOMA triangle --- underwater wireless optical communication --- temporal dispersion --- bandwidth limitation --- Monte Carlo method --- maximum likelihood sequence estimation --- visible light communication --- nonlinear equalization --- reservoir computing --- neural network (NN) --- autoencoder (AE) --- transceiver design --- nonlinearity --- VLC --- predistortion --- coefficient approximation --- BLSTM --- orthogonal frequency-division multiplexing --- sampling frequency offset --- visible light communications (VLC) --- mmWave communications --- channel modeling --- channel propagation characteristics --- path loss --- delay spread (DS) --- Ricean K-factor --- cluster characteristics


Book
Visible Light Communication and Positioning
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ISBN: 3039214365 3039214357 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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In recent years, wireless communications have significantly evolved due to the advanced technology of smartphones;, portable devices; and the rapid growth of Internet of Things, e-Health, and intelligent transportation systems . Moreover, there is an increasing need for emerging intelligent services like positioning and sensing in the future intelligence society. Recent years have witnessed the growing research interests and activities in the communication and intelligence services in the optical wireless spectrum, as a complementary technology to more


Book
Advances in Vehicular Networks
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.


Book
Visible Light Communication (VLC)
Author:
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Visible light communication (VLC) using light-emitting diodes (LEDs) or laser diodes (LDs) has been envisioned as one of the key enabling technologies for 6G and Internet of Things (IoT) systems, owing to its appealing advantages, including abundant and unregulated spectrum resources, no electromagnetic interference (EMI) radiation and high security. However, despite its many advantages, VLC faces several technical challenges, such as the limited bandwidth and severe nonlinearity of opto-electronic devices, link blockage and user mobility. Therefore, significant efforts are needed from the global VLC community to develop VLC technology further. This Special Issue, “Visible Light Communication (VLC)”, provides an opportunity for global researchers to share their new ideas and cutting-edge techniques to address the above-mentioned challenges. The 16 papers published in this Special Issue represent the fascinating progress of VLC in various contexts, including general indoor and underwater scenarios, and the emerging application of machine learning/artificial intelligence (ML/AI) techniques in VLC.

Keywords

Technology: general issues --- History of engineering & technology --- visible light communication (VLC) --- dimming control --- constant transmission efficiency --- error performance --- light-emitting diode (LED) --- visible light communications --- deep learning --- bit error rate --- orthogonal frequency division multiplexing --- index modulation --- POF --- FSO --- LiFi --- LED --- orthogonal frequency division multiplexing (OFDM) --- power efficiency --- peak-to-average-power ratio (PAPR) --- pre-distorted enhanced --- underwater optical wireless communication (UOWC) --- ADO-OFDM --- gamma–gamma function --- full-duplex --- long-reach --- photon counting --- vehicular visible light communication (VVLC) --- intelligent reflecting surface (IRS) --- the number of mirrors --- energy efficiency (EE) --- carrierless amplitude and phase (CAP) modulation --- pairwise coding (PWC) --- dual-mode index modulation (DM) --- chaotic encryption --- visible light positioning (VLP) --- free-space communication --- RGB LED --- non-orthogonal multiple access (NOMA) --- superposition constellation adjustment --- successive interference cancellation --- bit error ratio --- NOMA triangle --- underwater wireless optical communication --- temporal dispersion --- bandwidth limitation --- Monte Carlo method --- maximum likelihood sequence estimation --- visible light communication --- nonlinear equalization --- reservoir computing --- neural network (NN) --- autoencoder (AE) --- transceiver design --- nonlinearity --- VLC --- predistortion --- coefficient approximation --- BLSTM --- orthogonal frequency-division multiplexing --- sampling frequency offset --- visible light communications (VLC) --- mmWave communications --- channel modeling --- channel propagation characteristics --- path loss --- delay spread (DS) --- Ricean K-factor --- cluster characteristics --- n/a --- gamma-gamma function


Book
Visible Light Communication (VLC)
Author:
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Visible light communication (VLC) using light-emitting diodes (LEDs) or laser diodes (LDs) has been envisioned as one of the key enabling technologies for 6G and Internet of Things (IoT) systems, owing to its appealing advantages, including abundant and unregulated spectrum resources, no electromagnetic interference (EMI) radiation and high security. However, despite its many advantages, VLC faces several technical challenges, such as the limited bandwidth and severe nonlinearity of opto-electronic devices, link blockage and user mobility. Therefore, significant efforts are needed from the global VLC community to develop VLC technology further. This Special Issue, “Visible Light Communication (VLC)”, provides an opportunity for global researchers to share their new ideas and cutting-edge techniques to address the above-mentioned challenges. The 16 papers published in this Special Issue represent the fascinating progress of VLC in various contexts, including general indoor and underwater scenarios, and the emerging application of machine learning/artificial intelligence (ML/AI) techniques in VLC.

Keywords

visible light communication (VLC) --- dimming control --- constant transmission efficiency --- error performance --- light-emitting diode (LED) --- visible light communications --- deep learning --- bit error rate --- orthogonal frequency division multiplexing --- index modulation --- POF --- FSO --- LiFi --- LED --- orthogonal frequency division multiplexing (OFDM) --- power efficiency --- peak-to-average-power ratio (PAPR) --- pre-distorted enhanced --- underwater optical wireless communication (UOWC) --- ADO-OFDM --- gamma–gamma function --- full-duplex --- long-reach --- photon counting --- vehicular visible light communication (VVLC) --- intelligent reflecting surface (IRS) --- the number of mirrors --- energy efficiency (EE) --- carrierless amplitude and phase (CAP) modulation --- pairwise coding (PWC) --- dual-mode index modulation (DM) --- chaotic encryption --- visible light positioning (VLP) --- free-space communication --- RGB LED --- non-orthogonal multiple access (NOMA) --- superposition constellation adjustment --- successive interference cancellation --- bit error ratio --- NOMA triangle --- underwater wireless optical communication --- temporal dispersion --- bandwidth limitation --- Monte Carlo method --- maximum likelihood sequence estimation --- visible light communication --- nonlinear equalization --- reservoir computing --- neural network (NN) --- autoencoder (AE) --- transceiver design --- nonlinearity --- VLC --- predistortion --- coefficient approximation --- BLSTM --- orthogonal frequency-division multiplexing --- sampling frequency offset --- visible light communications (VLC) --- mmWave communications --- channel modeling --- channel propagation characteristics --- path loss --- delay spread (DS) --- Ricean K-factor --- cluster characteristics --- n/a --- gamma-gamma function


Book
Advances in Vehicular Networks
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.


Book
Advances in Vehicular Networks
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.

Keywords

History of engineering & technology --- vehicular networks --- 5G --- C-RAN --- resource allocation --- edge computing --- optimization --- vehicle-to-everything communication --- pedestrian --- vehicles --- safety --- automotive --- damper --- convolutional neural networks --- fault detection --- diagnosis --- machine learning --- deep learning --- connected vehicles --- reconfigurable meta-surface --- smart environment --- cooperative driving --- vulnerable road user detection --- collision probability --- probabilistic flooding --- vehicular communication --- visible light communications --- 5G networks --- smart vehicles --- field trials --- infrastructure-to-vehicle --- vehicle-to-vehicle --- Intelligent Transportation Systems --- Visible Light Communication --- Fresnel lenses --- AODV --- end-to-end delay --- packet loss ratio --- throughput --- VANET --- vehicular networks --- 5G --- C-RAN --- resource allocation --- edge computing --- optimization --- vehicle-to-everything communication --- pedestrian --- vehicles --- safety --- automotive --- damper --- convolutional neural networks --- fault detection --- diagnosis --- machine learning --- deep learning --- connected vehicles --- reconfigurable meta-surface --- smart environment --- cooperative driving --- vulnerable road user detection --- collision probability --- probabilistic flooding --- vehicular communication --- visible light communications --- 5G networks --- smart vehicles --- field trials --- infrastructure-to-vehicle --- vehicle-to-vehicle --- Intelligent Transportation Systems --- Visible Light Communication --- Fresnel lenses --- AODV --- end-to-end delay --- packet loss ratio --- throughput --- VANET


Book
Optics for AI and AI for Optics
Authors: --- --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics (especially optical communications, which underpin today’s telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today’s optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields.

Keywords

History of engineering & technology --- light emitting diode --- nonlinearity estimation and compensation --- probabilistic Bayesian learning --- visible light communication --- digital signal processing --- support vector machines --- BCSVM --- nonlinear equalization --- coherent detection --- k-nearest neighbor algorithm --- modulation format identification --- OSNR monitoring --- neural networks --- optical communications --- optimization --- equalizer --- tap estimation --- optical Fast-OFDM --- nonlinearity compensation --- optical fiber communications --- chromatic dispersion --- short-reach communication --- neural network --- hybrid signal processing --- fiber optics communications --- coherent communications --- machine learning --- clustering --- nonlinearity cancellation --- entanglement --- charge qubit --- position-based semiconductor qubits --- cryogenic technologies --- semiconductor photon communication --- Jaynes–Cummings–Hubbard formalism --- deep neural networks --- volterra equalization --- nonlinear systems --- coherent optical communication --- passive optical networks --- nonlinear compensation --- optical transmission --- optical networks --- artificial intelligence --- quality of transmission --- optical performance monitoring --- failure management --- artificial neural networks --- deep neural network --- image classification --- photonic integrated circuits --- semiconductor optical amplifiers --- photonic neural network --- n/a --- Jaynes-Cummings-Hubbard formalism


Book
Experimental, Numerical and Field Approaches to Scour Research
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book presents fourteen state-of-the-art research papers prepared by research scientists and engineers around the world. They explore the subject of scour related to bridge piers, monopiles, propellers, turbines, weirs, dams, grade-control structures, and pipelines. Their works are based on three different research methodologies, namely experimental, numerical, and field approaches.


Book
Sensors and Systems for Indoor Positioning
Authors: --- ---
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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This reprint is a reprint of the articles that appeared in Sensors' (MDPI) Special Issue on “Sensors and Systems for Indoor Positioning". The published original contributions focused on systems and technologies to enable indoor applications.

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