Publication result detail

Optimized 5G-IoT Probe: Hardware Innovations and Practical Deployment

PALUŘÍK, P.; DVOŘÁK, R.; MAŠEK, P.

Original Title

Optimized 5G-IoT Probe: Hardware Innovations and Practical Deployment

English Title

Optimized 5G-IoT Probe: Hardware Innovations and Practical Deployment

Type

Paper in proceedings (conference paper)

Original Abstract

The efficient deployment of 5G-IoT networks relies on accurate field measurements to evaluate network performance in diverse environments. This study introduces a newly optimized 5G-IoT tester, developed to enhance the accuracy and efficiency of LTE-M and NB-IoT coverage assessment. The redesigned hardware and software architecture provide improved power efficiency, enhanced configurability, and intuitive user controls, making it a robust tool for industrial applications and network planning. Initial field measurements were conducted as part of a large-scale data collection effort, covering a subset of predefined 1,000 test locations. The recorded data were analyzed through heatmap visualizations, revealing coverage disparities, particularly in peripheral regions, and emphasizing the need for targeted network optimizations. Future work aims to expand the dataset, enabling more comprehensive coverage analysis and validation of predictive models for IoT deployment.

English abstract

The efficient deployment of 5G-IoT networks relies on accurate field measurements to evaluate network performance in diverse environments. This study introduces a newly optimized 5G-IoT tester, developed to enhance the accuracy and efficiency of LTE-M and NB-IoT coverage assessment. The redesigned hardware and software architecture provide improved power efficiency, enhanced configurability, and intuitive user controls, making it a robust tool for industrial applications and network planning. Initial field measurements were conducted as part of a large-scale data collection effort, covering a subset of predefined 1,000 test locations. The recorded data were analyzed through heatmap visualizations, revealing coverage disparities, particularly in peripheral regions, and emphasizing the need for targeted network optimizations. Future work aims to expand the dataset, enabling more comprehensive coverage analysis and validation of predictive models for IoT deployment.

Keywords

5G-IoT, LTE-M, NB-IoT, signal analysis, network performance, field measurements, IoT connectivity

Key words in English

5G-IoT, LTE-M, NB-IoT, signal analysis, network performance, field measurements, IoT connectivity

Authors

PALUŘÍK, P.; DVOŘÁK, R.; MAŠEK, P.

RIV year

2026

Released

29.04.2025

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6320-2

Book

Proceedings II of the 31st Conference STUDENT EEICT 2025 Selected Papers

Edition

1

ISBN

2788-1334

Periodical

Proceedings II of the Conference STUDENT EEICT

State

Czech Republic

Pages from

154

Pages to

158

Pages count

5

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_2.pdf

BibTex

@inproceedings{BUT198424,
  author="Pavel {Paluřík} and Radim {Dvořák} and Pavel {Mašek}",
  title="Optimized 5G-IoT Probe: Hardware Innovations and Practical Deployment",
  booktitle="Proceedings II of the 31st Conference STUDENT EEICT 2025 Selected Papers",
  year="2025",
  series="1",
  journal="Proceedings II of the Conference STUDENT EEICT",
  pages="154--158",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2025.154",
  isbn="978-80-214-6320-2",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_2.pdf"
}