University of Oulu

Integration of a cellular Internet-of-Things transceiver into 6G test network and evaluation of its performance

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Author: Boz, Kutay1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.8 MB)
Pages: 34
Persistent link:
Language: English
Published: Oulu : K. Boz, 2023
Publish Date: 2023-07-05
Thesis type: Master's thesis (tech)
Tutor: Mikhaylov, Konstantin
Hänninen, Tuomo
Reviewer: Mikhaylov, Konstantin
Hänninen, Tuomo


This thesis focuses on the integration and deployment of an aftermarket cellular IoT transceiver on a 6G/5G test network for the purpose of evaluating the feasibility of such device for monitoring the network performance. The cellular technology employed was NB-IoT paired with a Raspberry Pi device as the microprocessor that collects network telemetry and uses MQTT protocol to provide constant data feed.

The system was first tested in a public cellular network through a local service provider and was successfully connected to the network, establishing TCP/IP connections, and allowing internet connectivity.

To monitor network information and gathering basic telemetry data, a network monitoring utility was developed. It collected data such as network identifiers, module registration status, band/channel, signal strength and GPS position. This data was then published to a MQTT broker. The Adafruit IO platform served as the MQTT broker, providing an interface to visualize the collected data.

Furthermore, the system was configured for and deployed on a 6G/5G test network successfully. The device functionality that was developed and tested in the public network remained intact, enabling continuous monitoring and analysis of network data. Through this study, valuable insights into the integration and deployment of cellular IoT transceivers into cellular networks that employ the latest IoT technology were gained. The findings highlight the feasibility of utilizing such a system for network monitoring and demonstrate the potential for IoT applications in cellular networks.

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Copyright information: © Kutay Boz, 2023. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.