English

Experiment-based Models for Air Time and Current Consumption of LoRaWAN LR-FHSS

Emerging Technologies 2024-08-20 v1 Signal Processing

Abstract

Long Range - Frequency Hopping Spread Spectrum (LR-FHSS) is an emerging and promising technology recently introduced into the LoRaWAN protocol specification for both terrestrial and non-terrestrial networks, notably satellites. The higher capacity, long-range and robustness to Doppler effect make LR-FHSS a primary candidate for direct-to-satellite (DtS) connectivity for enabling Internet-of-things (IoT) in remote areas. The LR-FHSS devices envisioned for DtS IoT will be primarily battery-powered. Therefore, it is crucial to investigate the current consumption characteristics and Time-on-Air (ToA) of LR-FHSS technology. However, to our knowledge, no prior research has presented the accurate ToA and current consumption models for this newly introduced scheme. This paper addresses this shortcoming through extensive field measurements and the development of analytical models. Specifically, we have measured the current consumption and ToA for variable transmit power, message payload, and two new LR-FHSS-based Data Rates (DR8 and DR9). We also develop current consumption and ToA analytical models demonstrating a strong correlation with the measurement results exhibiting a relative error of less than 0.3%. Thus, it confirms the validity of our models. Conversely, the existing analytical models exhibit a higher relative error rate of -9.2 to 3.4% compared to our measurement results. The presented in this paper results can be further used for simulators or in analytical studies to accurately model the on-air time and energy consumption of LR-FHSS devices.

Keywords

Cite

@article{arxiv.2408.09954,
  title  = {Experiment-based Models for Air Time and Current Consumption of LoRaWAN LR-FHSS},
  author = {Muhammad Asad Ullah and Konstantin Mikhaylov and Hirley Alves},
  journal= {arXiv preprint arXiv:2408.09954},
  year   = {2024}
}

Comments

This work has been submitted to the IEEE Internet of Things Journal for possible publication. Copyright to IEEE may be transferred without notice