Abstract
IoT networks are more and more present nowadays. Some IoT protocols share the same bandwidth leading to interference on neighboring networks and decrease of overall coverage. To contribute to this problem, an analytical study of the coverage of a LoRa network with underlying uncoordinated IoT networks for uplink transmissions is presented in this paper. Using stochastic geometry, closed form analytical expressions are proposed allowing to analyze the success and coverage probabilities for a LoRa network. An appropriate model of the path loss including real-life values is used to characterize the log-distance propagation parameters. The interference comes from both the LoRa network itself and the underlying IoT networks, modeled with an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> -stable distribution based on recent measurements. It is shown that for an environment with a huge amount of surrounding uncoordinated IoT networks, the gateways deployment should be doubled to reach a decent coverage probability, compared to an environment where the underlying interfering networks are not considered.
Highlights
The importance of Internet of Things (IoT) in today’s wireless communications systems is increasing day after day
As we focus on the uplink, the GW receives the useful signal, the interference coming from the other LoRa end devices (EDs), the aggregate interference coming from the underlying uncoordinated IoT networks, and the Additive White Gaussian Noise [25], [32]
The interfering networks have been modeled by α-stable distributions, and the coverage probability for various gateways densities has been calculated thanks to stochastic geometry-based analytic calculations
Summary
The importance of Internet of Things (IoT) in today’s wireless communications systems is increasing day after day. The works exposed in [34] show a very strong match between the theoretical interference model that is based on an α-stable heavy-tailed distribution and the measurements carried out in different zones (park, hospital, residential and industrial zones) in the city of Aalborg In view of these related works, α-stable distribution is a good choice to model the interference from the underlying networks. B. CONTRIBUTIONS AND ORGANIZATION As seen in the previous sections, the related works that deal with LoRa networks modeling mainly focus on co-SF interference to calculate the coverage probability. CONTRIBUTIONS AND ORGANIZATION As seen in the previous sections, the related works that deal with LoRa networks modeling mainly focus on co-SF interference to calculate the coverage probability These works do not take into account the uncoordinated neighboring networks, and do not model the path-loss with real parameters.
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