ELIoT: New Features in LiFi for Next-Generation IoT

Linnartz, Jean-Paul M. G.; Corrêa, Camila Braga; Cunha, T. E. B.; Tangdiongga, E.; Koonen, Ton; Deng, Xiong; Wendt, M.; Abbo, A.A.; Stobbelaar, Pieter; Müller, Marcel; Behnke, Daniel; Vazquez, Marcos Martinez; Colonques, S. V.; Bech, Martin; Metin, Taner; Emmelmann, Marc; Kouhini, Sepideh Mohammadi; Bober, Kai Lennert; Kottke, Christoph; Jungnickel, Volker

doi:10.1109/eucnc/6gsummit51104.2021.9482478

Cited by 13 publications

(7 citation statements)

References 12 publications

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“…In [55], the authors utilized the Light communication (LiFi) concept to meet high-reliability requirements in dynamic IoT networks. Simulation results indicate that the proposed Distributed MIMO (D-MIMO) topology could enhance reliability performance.…”

Section: E Reliabilitymentioning

confidence: 99%

“…In particular, reliability optimization based on ML is defined as the main means of reliability optimization of 5G and 6G IoT networks, which is proposed in [54], [56], [57]. Other concepts, like reliability function [53], LiFi [55] and FastReRoute [58], are effective techniques for reliability optimization of 5G and 6G IoT networks. The advantages and future directions of methods in reliability performance optimization are described in Table VI.…”

Section: E Reliabilitymentioning

confidence: 99%

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Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Liwen,

Qamar,

Liaqat

et al. 2024

IEEE Access

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The next generation (6G) wireless communication technology has super advantages in high transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due to its wide connection. However, effective resource optimization methods must be analyzed to meet the high requirements of key performance indicators in 6G wireless IoT networks. This paper discusses a general investigation of the resource optimization strategies in the 6G IoT system. The study aims to find the main solutions to optimize 6G IoT network performance. First, an overall summary of current research is preferred resource optimization in latency, reliability, Energy Efficiency (EE), Spectrum Efficiency (SE), bandwidth utilization efficiency, rate, and power efficiency. Second, we propose the multi-indicator tradeoff strategies associated with the latest resource optimization approaches and investigate optimal strategies. Furthermore, we show the limitations of the current resource optimization methods and discuss the future works of resource optimization for IoT devices in 6G communication. Our survey aims to help researchers optimize 6G IoT network performance using advanced techniques.

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Section: E Reliabilitymentioning

confidence: 99%

Section: E Reliabilitymentioning

confidence: 99%

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Liwen,

Qamar,

Liaqat

et al. 2024

IEEE Access

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“…The LiFi cell architecture is shown in Fig. 3 and described in detail in [7]. We summarize various practical infrastructures in Figs.…”

Section: Network Dimensioningmentioning

confidence: 99%

“…This approach inherently allows seamless handover with low latency and zero packet loss. A proper combination of spatial diversity with deterministic channel access can realize timely packet delivery [4][5][6][7]. Moreover, multiple APs can jointly transmit to one or multiple user client devices, each of which may be capable of resolving signals coming in from different angles.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic study of very dense optical wireless access using visible or infrared light

Machuca

Kaufmann

Linnartz

et al. 2023

J. Opt. Commun. Netw.

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Future wireless networks need to serve a high density of end-user devices with a high quality of service. The density of wireless access points and the infrastructure behind them lead to substantial cost. We study this cost impact for the particular case of optical wireless communication [also denoted as light fidelity (LiFi)] in a large manufacturing hall. We compare different LiFi network topologies using visible or infrared light. Considering aspects such as the fronthaul cabling layout, equipment investments, and installation and operational costs for energy and maintenance, different LiFi solutions are analyzed for greenfield and brownfield scenarios. The techno-economic analysis is performed in terms of total cost of ownership as well as the impact of each cost category to the final cost. Furthermore, the cost per delivered Mbps is compared to take into account the expected densification (more bits/s/m2) and satisfy the demand for future wireless traffic. Both delivered capacity and power consumption have been identified as the two most critical parameters.

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“…This paper highlights how these challenges are addressed in the EU H2020 project ELIoT (Enhance Lighting for the Internet of things). As this is an overview paper, extending our EuCNC paper [4] we refer the reader to multiple publicly available project papers for more details. In particular, the main contributions reported are:…”

mentioning

confidence: 99%

ELIoT: enhancing LiFi for next-generation Internet of things

Linnartz

Corrêa

Cunha

et al. 2022

J Wireless Com Network

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Communication for the Internet of things (IoT) currently is predominantly narrowband and cannot always guarantee low latency and high reliability. Future IoT applications such as flexible manufacturing, augmented reality and self-driving vehicles rely on sophisticated real-time processing in the cloud to which mobile IoT devices are connected. High-capacity links that meet the requirements of the upcoming 6G systems cannot easily be provided by the current radio-based communication infrastructure. Light communication, which is also denoted as LiFi, offers huge amounts of spectrum, extra security and low-latency transmission free of interference even in dense reuse settings. We present the current state-of-the-art of LiFi systems and introduce new features needed for future IoT applications. We discuss results from a distributed multiple-input multiple-output topology with a fronthaul using plastic optical fibre. We evaluate seamless mobility between the light access points and also handovers to 5G, besides low-power transmission and integrated positioning. Future LiFi development, implementation and efforts towards standardization are addressed in the EU ELIoT project which is presented here.

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ELIoT: New Features in LiFi for Next-Generation IoT

Cited by 13 publications

References 12 publications

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Techno-economic study of very dense optical wireless access using visible or infrared light

ELIoT: enhancing LiFi for next-generation Internet of things

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