LoRaWAN Modeling and MCS Allocation to Satisfy Heterogeneous QoS Requirements.

Sensors (Basel)

Wireless Networks Lab, Institute for Information Transmission Problems, Russian Academy of Sciences, 127051 Moscow, Russia.

Published: September 2019

AI Article Synopsis

  • LoRaWAN infrastructure is increasingly used for wireless communication in various sensor applications, each with unique traffic and quality of service (QoS) requirements.
  • The paper develops a mathematical model to evaluate key QoS metrics like network capacity and packet loss in low-power data transmissions, considering challenges like random channel noise.
  • The model helps analyze how network performance is affected by traffic load and allows for the assignment of modulation and coding schemes to devices to meet their specific QoS needs.

Article Abstract

LoRaWAN infrastructure has become widely deployed to provide wireless communications for various sensor applications. These applications generate different traffic volumes and require different quality of service (QoS). The paper presents an accurate mathematical model of low-power data transmission in a LoRaWAN sensor network, which allows accurate validation of key QoS indices, such as network capacity and packet loss ratio. Since LoRaWAN networks operate in the unlicensed spectrum, the model takes into account transmission attempt failures caused by random noise in the channel. Given QoS requirements, we can use the model to study how the performance of a LoRaWAN network depends on the traffic load and other scenario parameters. Since in LoRaWAN networks the transmissions at different modulation and coding schemes (MCSs) typically do not collide, we use the model to assign MCSs to the devices to satisfy their QoS requirements.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806083PMC
http://dx.doi.org/10.3390/s19194204DOI Listing

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