LiFi for Industrial Wireless Applications

Jungnickel, Volker; Berenguer, Pablo Wilke; Mana, Sreelal Maravanchery; Hinrichs, Malte; Kouhini, Sepideh Mohammadi; Bober, Kai Lennert; Kottke, Christoph

doi:10.1364/ofc.2020.m3i.1

Cited by 24 publications

(9 citation statements)

References 8 publications

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“…Furthermore, the feasibility of using VLC systems in industrial production environments has been examined in literature [262], [263]. In [264], [265], the performance of VLC-based systems for multi-user MIMO architectures is investigated.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik

Romdhane²,

Kaddoum³

2023

IEEE Commun. Surv. Tutorials

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical, biological, and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of un-derGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the everincreasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoWT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik

Romdhane²,

Kaddoum³

2023

IEEE Commun. Surv. Tutorials

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“…Li-Fi can be used in industrial environment to achieve low-latency wireless communication such as connecting head mounted cameras of an industrial robot to a cloud [28]. Researchers in their work [29] demonstrated an enhanced Li-Fi positioning system that offers enhanced accuracy, reliable, improved productivity and secure wireless communication medium to fulfill the future needs of Industry 4.0.…”

Section: Industial Applicationmentioning

confidence: 99%

The Applications, Challenges and Future of LiFi

Hissain

Saad

Ahmed

2022

PJETS

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This paper aims to show that Li-Fi now reached a state, where it can be considered a reliable wireless communication solution for future technologies. Currently, the Internet can be accessed using Wi-Fi, but it has its limitations too. It is sufficient for current Internet services but insufficient with IoT and cloud-based services. In the upcoming decade, hard drives will be obsolete and everything will be on the cloud. Modern Web applications i.e., 4K & 8K videos, games, high-resolution photos, etc. require fast bandwidth. Li-Fi opens a reliable door for the end-users to access future technology-based services at high speed.

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“…where m = − ln (2) ln(cos φ 1/2 ) is the Lambertian order of the LED in with φ 1/2 the half power semi-angle, A pd the collection area of the photo diode, d k,j the distance between TXk and RXj, φ k,j and ψ k,j the irradiation angle and incidence angle, respectively, g(ψ k,j ) the concentrator and filter gain of the photo diode, and Ψ c the field-of-view of the receiver. The signal-to-interference-plus-noise-ratio (SINR) at RXj in time-slot s is computed as follows 1 :…”

Section: A Lifi Channel Modelmentioning

confidence: 99%

“…This is also reflected in the latest standardization for LiFi networks. A new medium access control (MAC) protocol is proposed in the IEEE P802.15.13 task group which controls medium access in a deterministic manner to guarantee the QoS [1]. In literature, several centralised and scheduling-based approaches have been investigated that rely on sufficient knowledge about the network topology, but it is well known that schedulebased and centrally controlled schemes do not scale to very large networks.…”

Section: Introductionmentioning

confidence: 99%

TDMA Scheduling in Spatially Extended LiFi Networks

Beysens

Linnartz

Wageningen

et al. 2020

IEEE Open J. Commun. Soc.

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Optical Wireless Communication (OWC) has attracted significant attention from academia and industry as a promising solution to complement traditional radio frequency communication. In Light-Fidelity (LiFi) networks, to enable soft handover and provide robustness against blockage of the line-of-sight links, LiFi receivers are designed to see multiple LiFi transmitters within their field-of-view. To trade-off spatial multiplexing with harmful interference, a proper user scheduling technique is required. In this work, we first derive practical and exact expressions for determining which simultaneous transmissions will create harmful interference and should be scheduled in multiple time-slots. Afterwards, relying on this expression, we propose our semi-distributed Spatially Extended TDMA algorithm, which is based on a time division contention-free access scheme. In contrast to more complex algorithms in the state-of-the-art, our scheduling protocol can reduce the computation time while also achieving a superior minimal user throughput. For a scenario with 9 transmitters and up to 15 receivers, our protocol is at least a factor 120 faster and can improve the minimal user throughput up to 91%, making it suitable for practical roll-out as a promising solution for very dense LiFi networks.

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LiFi for Industrial Wireless Applications

Cited by 24 publications

References 8 publications

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

The Applications, Challenges and Future of LiFi

TDMA Scheduling in Spatially Extended LiFi Networks

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