Capture Aware Sequential Waterfilling for LoRaWAN Adaptive Data Rate

Ilenia Tinnirello, Domenico Garlisi, Domenico Garlisi, Francesca Cuomo, Giuseppe Bianchi, Ilenia Tinnirello, Giuseppe Bianchi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

LoRaWAN (Long Range Wide Area Network) is an attractive network infrastructure and protocol suite for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative “sequential waterfilling” strategy for assigning spreading factors to End Devices. Our design relies on three complementary approaches: i) equalize the Time-on-Air of packets transmitted by the system’s End Devices in each spreading factor’s group; ii) balance the spreading factors across multiple gateways and iii) keep into account the channel capture, which our experimental results show to be very substantial in LoRa. While retaining an extremely simple and scalable implementation, this strategy yields a significant improvement (up to 38%) in the network capacity over the Adaptive Data Rate used by many network operators on the basis of the design suggested by Semtech, and appears to be extremely robust to different operating/load conditions and network topology configurations.
Original languageEnglish
Pages (from-to)2019-2033
Number of pages15
JournalIEEE Transactions on Wireless Communications
Volume20
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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