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

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.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.13164/eeict.2025.154
Citations
1
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
2.27
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article

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

Pavel Mašek, Pavel Paluřík, Radim Dvořák
1 citations
VLSI and Analog Circuit Testing
2.27
article

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

Pavel Mašek, Pavel Paluřík, Radim Dvořák
article en
1 citations

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.

Industry, innovation and infrastructure
Openalex Percentile: Top 13%
VLSI and Analog Circuit Testing
2.27
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