Here you’ll find technical recommendations for developers of LoRaWAN devices. These best practices cover everything from provisioning and testing devices to managing them.

As demonstrated in this theoretical analysis of a LoRaWAN network trial performed by Semtech and MachineQ, we learn that closed-form formulas can accurately predict the capacity of a LoRaWAN network.

Performing remote firmware upgrades over-the-air (FUOTA) is a requirement for most Internet of Things (IoT) devices. FUOTA systems require an efficient and secured file delivery system to reliably push the firmware patch file. This paper discusses two of the application layer packages that form the basis of the secured LoRaWAN® file distribution service used for pushing such upgrades to devices on a LoRaWAN network.

In this article, Tim Cooper tackles the problem of hard-to-predict power levels and unforeseen interference sources in the license-free ISM band, and shows you how to answer the deceptively simple question:

How likely is my radio to be immune to the interference it will encounter?

Using Adaptive Data Rate (ADR), you can easily scale a LoRaWAN network, simply by adding gateways, thus drastically increasing its capacity. This technical paper explains what the ADR mechanism is and how it works.

The LoRaWAN® adaptive data rate (ADR) mechanism slowly adapts the data rate between an end device (“end node”) and a gateway depending upon the prevailing channel conditions. However, when it comes to mobile applications, we run into conflicting requirements when it comes to power consumption, link budget, and airtime. Blind ADR helps mitigate these conflicts.

LoRa®-based device can operate in three different modes, Class A, Class B, and Class C. In this paper we highlight the main differences between these three modes, and go into depth about how devices in Class A mode work.

In this paper, we continue our discussion about the differences between the operating modes of LoRa-based devices, and dive deep into what it means for a device to operate in Class B mode.

Here, we wrap up our discussion of the three modes in which a LoRa-based device can operate, and explain in more depth what sets Class C devices apart from the others.

This article provides an introduction to the LoRa® and LoRaWAN® technologies. Here, we discuss key LoRa modulation properties and characteristics and explain the fundamentals of a LoRaWAN network.This article provides an introduction to the LoRa® and LoRaWAN® technologies.

Technology allowing you to locate wireless sensors is of key importance in realizing their full value. While the Global Positioning System (GPS) is probably the most widely known technology, it may not always be the best choice for locating such sensors. In this paper, we explore the merits of using LoRaWAN®-based networks to locate end devices.

The LoRa PicoCell Gateway V1.0  is a multi-channel high performance transceiver designed to simultaneously receive several LoRa packets using random spreading factors.

This user guide is a step by step guide describing how to use a LoRaMAC-Node stack to send a payload to The Things Networks (TTN), then to myDevices / Cayenne in Low Power Payload (LPP) format.

The Smart Building Reference Kit (“Kit”) is designed to provide validation of the network coverage within a building, accelerate solution development and facilitate a portable demonstration to a wide range of stakeholders. By moving the location of the sensors to different spots around the building, users can determine a gateway’s range of coverage.

The LoRaMote is a demo platform intended to showcase the capability of the SX1272 and especially the LoRa modulation. The platform is fitted with various sensors which provide a variety of applications.

This paper examines the performance of a LoRaWAN network when coexisting and co-located with a densely-deployed UHF RFID system.