What are the best tools and methods to measure LTE-M coverage map performance?

1 What is a coverage map?

A coverage map is a graphical representation of the signal strength and quality of a wireless network in a given area. It can help you identify the best locations for your LTE-M devices, troubleshoot connectivity issues, and optimize your network design. A coverage map can be generated by using various sources of data, such as network operators, third-party services, or your own measurements.

2 How to use network operators' coverage maps?

One of the easiest ways to check the LTE-M coverage in your area is to use the coverage maps provided by the network operators. For example, you can visit the websites of AT&T, Verizon, or T-Mobile in the US, or Vodafone, Orange, or Telia in Europe, and look for their LTE-M or IoT coverage maps. These maps can give you a general idea of the availability and quality of the LTE-M service in your region. However, they may not reflect the actual conditions on the ground, as they are based on theoretical models and assumptions.

3 How to use third-party coverage map services?

Another option to measure the LTE-M coverage map performance is to use third-party services that collect and aggregate data from various sources, such as crowdsourcing, testing, or scanning. For example, you can use services like CellMapper, OpenSignal, or RootMetrics to access interactive maps that show the LTE-M signal strength, quality, and reliability in different locations. These services can give you more accurate and up-to-date information than the network operators' maps, but they may not cover all the areas or networks that you need.

4 How to use your own measurement tools?

The most reliable way to measure the LTE-M coverage map performance is to use your own measurement tools, such as devices, software, or kits, that can collect and analyze data from your LTE-M network. For example, you can use devices like LTE-M modems, dongles, or modules, that can connect to the LTE-M network and report the signal strength, quality, and other parameters. You can also use software like QXDM, TEMS, or Nemo, that can capture and visualize the network data on your computer or smartphone. Alternatively, you can use kits like Link Labs Symphony Link Tester, Monarch Go Starter Kit, or Nordic Thingy:91, that can provide you with ready-to-use hardware and software solutions for testing and measuring the LTE-M network performance.

5 How to interpret the measurement results?

Once you have collected the data from your measurement tools, you need to interpret the results and understand their implications for your LTE-M coverage map performance. To do this, you should focus on key metrics such as RSSI (Received Signal Strength Indicator), RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), SNR (Signal-to-Noise Ratio), and CQI (Channel Quality Indicator). Each of these metrics provides valuable information about signal strength, signal quality, noise and interference levels, and data rate. With these metrics, you can evaluate your LTE-M coverage map performance and pinpoint areas or issues that need improvement.

6 How to improve the LTE-M coverage map performance?

If you find that your LTE-M coverage map performance is not meeting expectations, there are some steps to take to improve it. You could consider changing network operators for better coverage in the area, or use an external antenna or booster to enhance signal reception and transmission. Additionally, adjusting the location, orientation, or height of the LTE-M devices could help avoid obstacles or interference that may affect the signal propagation. Furthermore, optimizing power consumption and transmission frequency of the devices can extend battery life and reduce network congestion. Finally, network slicing or roaming features can provide access to dedicated or alternative network resources for your LTE-M devices. By following these steps, you can improve your LTE-M coverage map performance and ensure reliable and efficient connectivity for your IoT applications.