Powering the Internet of Things through Light Communication

Demirkol, Ilker; Camps‐Mur, Daniel; Paradells, Josep; Combalia, Marc; Popoola, Wasiu O.; Haas, Harald

doi:10.1109/mcom.2019.1800429

Cited by 70 publications

(31 citation statements)

References 15 publications

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“…In a slow fading channel, the channel changes significantly more slowly than the symbol rate of the signal, and is a common condition for high-speed transmissions. In a fast fading channel, the channel notably changes within the duration of a communication symbol, and is commonly related to the cases of low-power and energy-harvesting sensors [ 25 , 26 , 27 ]. As follows from the coherence time definition ( Section 2.2 ), in such a channel the channel gain for the next symbol cannot be predicted from the previous one, as they are virtually uncorrelated [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

Bykhovsky

2020

Sensors

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The coherence time is the time over which the channel-gain-values correlation coefficient drops below a predefined threshold. The coherence time is typically used to quantify the pace of appreciable channel changes and is important, for example, for determining handoff and resource allocation time constraints. The goal of this work is to experimentally measure the coherence time of indoor optical wireless communication (OWC) channels under various mobile scenarios. The amount of movement was quantified by mobile sensor measurements. The experiments show that it is reasonable to assume that the channel varies slowly for a time period of ~100 milliseconds for most mobile scenarios.

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Section: Discussionmentioning

confidence: 99%

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

Bykhovsky

2020

Sensors

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“…Finally, Demirkol et al proposed in [25] an architecture very similar to the one presented in this work. LiFi was proposed as an enabling technology for IoT in indoor environments.…”

Section: Related Workmentioning

confidence: 85%

Hybrid RF/VLC Network Architecture for the Internet of Things

Delgado-Rajo

Melian-Segura

Guerra

et al. 2020

Sensors

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In recent years, there has been a remarkable advance in monitoring technologies in many environments, be they urban or rural. These technologies, included in the Internet of Things (IoT) domain, allow remote control and acquisition of data from sensors for their subsequence analysis. All these systems are based on the interaction between sensors and actuators. To achieve this goal, it is necessary to provide a very high level of connectivity between the devices, especially as far as wireless systems are concerned. In this sense, there is a great variety of standards in the market of communication networks oriented to this end. One of the biggest challenges today is to allow inter-operability between these different technologies in order to homogenize this field. In addition to this, it is intended to introduce new communication techniques that can provide certain additional advantages to those already existing. The main idea is the creation of a cellular network where radiofrequency and optical technologies coexist, and whose link with the rest of the world is through long-range and low-consumption wireless technologies. The center of each cell, that is the lighting system, can be powered using solar panels, as can the existing systems in the market. The objective is that these panels are capable of providing the necessary energy to the rest of the necessary systems.

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“…Without loss of generality, we consider that for odd i all a i are maxima and for even i all a i are minima. Then the formula (2) gives the maximum energy W N which can theoretically be converted from this vibration if the mass toggles at each extremum.…”

Section: A a Posteriori Selection Of The Optimal Extrema Subsetmentioning

confidence: 99%