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.
https://hal.inria.fr/hal-02267218
Contributor : Christelle Caillouet
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Submitted on : Monday, August 19, 2019 - 10:46:09 AM
Last modification on : Monday, November 25, 2019 - 4:33:34 PM
Long-term archiving on: Thursday, January 9, 2020 - 11:43:23 PM
Christelle Caillouet, Martin Heusse, Franck Rousseau. Optimal SF Allocation in LoRaWAN Considering Physical Capture and Imperfect Orthogonality. GLOBECOM 2019 - IEEE Global Communications Conference, Dec 2019, Waikoloa, United States. ⟨hal-02267218⟩
