Capacity of a LoRaWAN Cell - DRAKKAR Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Capacity of a LoRaWAN Cell

Martin Heusse
Takwa Attia
  • Fonction : Auteur
Franck Rousseau
Andrzej Duda

Résumé

In this paper, we consider the problem of evaluating the capacity of a LoRaWAN cell. Previous analytical studies investigated LoRaWAN performance in terms of the Packet Delivery Ratio (PDR) given a number of devices around a gateway and its range. We improve the model for PDR by taking into consideration that the following two events are dependent: successful capture during a collision and successful frame decoding despite ambient noise. We consider a realistic traffic model in which all devices generate packets with the same inter-transmission times corresponding to the duty cycle limitation at the highest SF, regardless of the distance to the gateway. Based on the developed model, we optimize the Spreading Factor (SF) boundaries to even out PDR throughout the cell. We validate the analytical results with simulations, compare our model with previous work, and experimentally validate the hypothesis of Rayleigh fading for the LoRa channel. The important conclusion from our results is that a LoRa cell can handle a relatively large number of devices. We also show that there is practically no inter-SF interference (cross interference between transmissions with different SFs): interference from higher SFs comes from nodes located farther away, so they face greater attenuation and thus, they do not interfere with lower SF nodes.
Fichier principal
Vignette du fichier
lora-model-mswim20-ef.pdf (344.63 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03010556 , version 1 (17-11-2020)

Identifiants

Citer

Martin Heusse, Takwa Attia, Christelle Caillouet, Franck Rousseau, Andrzej Duda. Capacity of a LoRaWAN Cell. MSWiM 2020 - 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Nov 2020, Alicante, Spain. pp.131-140, ⟨10.1145/3416010.3423228⟩. ⟨hal-03010556⟩
175 Consultations
579 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More