Massive Machine-Type Communications via Hybrid OWC/RF Networks

Devaja, Tijana; Petkovic, Milica I.; Munari, Andrea; Clazzer, Federico; Beko, Marko; Vukobratović, Dejan

doi:10.1109/csndsp54353.2022.9907922

Cited by 2 publications

(2 citation statements)

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“…a ) 4 , where P t is the transmitted optical power, η is the optical-to-electrical conversion efficiency, while the Gaussian noise variance is determined as σ 2 n = N 0 B with N 0 and B being the noise spectral density and the system bandwidth, respectively. After utilization of the random variables transformation techniques, the probability distribution function (PDF) of signal-to-noise ratio (SNR) γ owc is derived as [12], [13]…”

Section: Two-tier Multi-rate Slotted Alohamentioning

confidence: 99%

“…In our previous work [12], we focused on the design of single indoor OWC IoT cell. In a parallel work [13], we considered two-tier OWC/RF massive IoT setup and analysed its fundamental behaviour using the tools from stochastic geometry, while in [14] two-tier OWC/RF system is proposed considering a single large indoor OWC IoT system with a large number of indoor OWC access points (APa). In contrast, this work explores a novel two-tier multi-rate SA design and develops a detailed system analysis and design for specific design assumptions at both OWC and RF tiers.…”

Section: Introductionmentioning

confidence: 99%

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Two-Tier Multi-Rate Slotted ALOHA for OWC/RF-Based IoT Networks

et al. 2023

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We consider a massive Internet of Things (IoT) scenario where indoor IoT devices access the network via optical wireless communication (OWC) IoT systems that relay data via a backhaul radio frequency (RF) low-power wide-area network (LP WAN). We propose a novel two-tier multi-rate Slotted ALOHA (SA) system model to design and analyse such hybrid OWC/RF networks. For a particular hybrid OWC/RF setup, we present an in-depth numerical investigation that provides insights into the proposed two-tier multi-rate hybrid OWC/RF SA system design.

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Section: Two-tier Multi-rate Slotted Alohamentioning

confidence: 99%