2022
DOI: 10.1109/access.2022.3141540
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Stochastic Geometry-Based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

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 ap… Show more

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Cited by 3 publications
(2 citation statements)
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“…A particular strength of this approach is that it can capture spatiotemporal correlations of interference [2], thus drawing a comprehensive picture of the performance of a network. In such an approach, the node locations are often modeled by Poisson point processes (PPPs), which is a good compromise between the accuracy of the model and mathematical simplicity and thus has given rise to a high number of publications, including results on assessing the performance of cellular networks [3], [4], mmWave communications [5], wireless ad hoc networks [6], and the Internet-of-Things (IoT) [7], [8]. Many of these works take into account the interference correlation that is caused by the fixed interferers' locations or, in case of mobility, the correlation of the interferers' locations at different times.…”
Section: Introductionmentioning
confidence: 99%
“…A particular strength of this approach is that it can capture spatiotemporal correlations of interference [2], thus drawing a comprehensive picture of the performance of a network. In such an approach, the node locations are often modeled by Poisson point processes (PPPs), which is a good compromise between the accuracy of the model and mathematical simplicity and thus has given rise to a high number of publications, including results on assessing the performance of cellular networks [3], [4], mmWave communications [5], wireless ad hoc networks [6], and the Internet-of-Things (IoT) [7], [8]. Many of these works take into account the interference correlation that is caused by the fixed interferers' locations or, in case of mobility, the correlation of the interferers' locations at different times.…”
Section: Introductionmentioning
confidence: 99%
“…Deploying a sensor network in real-world environments requires accurate estimations of the received signal. Consequently, modelling the environmental impact on LoRa communications becomes paramount [ 9 ].…”
Section: Introductionmentioning
confidence: 99%