# Understanding the limits of LoRaWAN

arXiv: https://arxiv.org/abs/1607.08011 · HTML: https://mlsanity.com/paper/1607.08011/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jul 2016.

## Built on by (most cited first, 11 of 11)

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- [MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN](https://mlsanity.com/paper/2206.03401/) (2022)
- [Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands](https://mlsanity.com/paper/2106.06010/) (2021)
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- [acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices](https://mlsanity.com/paper/2501.17841/) (2025)
- [A Practical AoI Scheduler in IoT Networks with Relays](https://mlsanity.com/paper/2203.04227/) (2022)
- [Data-driven classification of low-power communication signals by an unauthenticated user using a software-defined radio](https://mlsanity.com/paper/2309.04088/) (2023)
- [OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data](https://mlsanity.com/paper/2508.13374/) (2025)
- [Online Learning Based Efficient Resource Allocation for LoRaWAN Network](https://mlsanity.com/paper/2509.10493/) (2025)

## Abstract (arXiv)

The quick proliferation of LPWAN networks, being LoRaWAN one of the most adopted, raised the interest of the industry, network operators and facilitated the development of novel services based on large scale and simple network structures. LoRaWAN brings the desired ubiquitous connectivity to enable most of the outdoor IoT applications and its growth and quick adoption are real proofs of that. Yet the technology has some limitations that need to be understood in order to avoid over-use of the technology. In this article we aim to provide an impartial overview of what are the limitations of such technology, and in a comprehensive manner bring use case examples to show where the limits are.