Frame Arrival Timing in LoRaWAN: Capacity Increase With Repeated Transmissions and More Channel Attenuation - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2022

Frame Arrival Timing in LoRaWAN: Capacity Increase With Repeated Transmissions and More Channel Attenuation

Martin Heusse
Andrzej Duda

Abstract

This paper considers a LoRaWAN cell in which devices access the channel using the unslotted ALOHA protocol. We propose a model of this access method that combines the effects of collisions with channel fading, by which reception may get buried in noise. Unlike the existing models of LoRaWAN, our model takes into account the frame arrival timing: it distinguishes, on the one hand, the interference created by earlier transmissions with respect to the frame of interest, and on the other hand, the interference by the frames arriving later on. From the results of the model, we draw three observations regarding the improvement of Packet Delivery Ratio (PDR). First, it puts back under the spotlight the often overlooked fact that repeating frames is always beneficial when the desired PDR is above 60%, even though the extra packet transmissions create more collisions. Second, as soon as the node density becomes notable and collisions have a similar impact on losses as attenuation, adding a smaller spreading factor SF6 modulation into the cell list of transmission parameters allows increasing the coverage range. Third, the model shows that cell capacity sometimes grows with the distance to the gateway or with decreased node transmission power, a trend seldom observed in wireless networks.
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Dates and versions

hal-03764986 , version 1 (30-08-2022)

Identifiers

  • HAL Id : hal-03764986 , version 1

Cite

Martin Heusse, Christelle Caillouet, Andrzej Duda. Frame Arrival Timing in LoRaWAN: Capacity Increase With Repeated Transmissions and More Channel Attenuation. PIMRC 2022 - IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2022, Virtual Conference, Japan. ⟨hal-03764986⟩
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