Optimal SF Allocation in LoRaWAN Considering Physical Capture and Imperfect Orthogonality

Christelle Caillouet 1 Martin Heusse 2 Franck Rousseau 2
1 COATI - Combinatorics, Optimization and Algorithms for Telecommunications
Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués, CRISAM - Inria Sophia Antipolis - Méditerranée
2 Drakkar
LIG - Laboratoire d'Informatique de Grenoble
Abstract : We propose a theoretical framework for maximizing the LoRaWAN capacity in terms of the number of end nodes, when they all have the same traffic generation process. The model optimally allocates the spreading factor to the nodes so that attenuation and collisions are optimized. We use an accurate propagation model considering Rayleigh channel, and we take into account physical capture and imperfect SF orthogonality while guaranteeing a given transmission success probability to each served node in the network. Numerical results show the effectiveness of our SF allocation policy. Our framework also quantifies the maximum capacity of single cell networks and the gain induced by multiplying the gateways on the covered area. We finally evaluate the impact of physical capture and imperfect SF orthogonality on the SF allocation and network performances.
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Submitted on : Monday, August 19, 2019 - 10:46:09 AM
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Christelle Caillouet, Martin Heusse, Franck Rousseau. Optimal SF Allocation in LoRaWAN Considering Physical Capture and Imperfect Orthogonality. IEEE Global Communications Conference (GLOBECOM), Dec 2019, Big Island, Hawai, United States. ⟨hal-02267218⟩

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