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Using 5G-IoT Networks for Portable Electric Vehicle Charging Stations
Mikulášek, Michal ; Jablončík, Lukáš ; Mašek, Pavel
The transition to electric vehicles (EV) as part of corporate fleets poses challenges for monitoring and reimbursing home charging activities. This paper explores the application of Internet of Things (IoT) networks to facilitate the use of portable EV charging stations by employees for home charging of corporate vehicles. The core objective is to enable precise reporting of the energy consumed during home charging sessions directly to employers, ensuring accurate compensation and energy usage tracking. This article looks at the theoretical and practical assessment of whether 5G-IoT networks are suitable for this particular case. An experimental setup was established, deploying a portable EV charging station integrated with 5GIoT connectivity to test its effectiveness in real-world residential settings under varying radio conditions. The experiment focuses on assessing the reliability of data transmission, usability in home conditions, and user experience in interfacing with the charging infrastructure. Results demonstrate the feasibility of using 5GIoT networks for this application, highlighting the potential for seamless, efficient, and secure communication between portable charging stations and corporate monitoring systems. The paper also identifies potential challenges, such as network coverage in residential areas and the challenges in device design.
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Machine Learning-based Fingerprinting Localization in 5G Cellular Networks
Dinh Le, Thao ; Mašek, Pavel
This study explores the viability of employing machine learning (ML)-based fingerprinting localization in 5G heterogeneous cellular networks. We conducted an extensive measurement campaign to collect data and utilized them to train three ML models: Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM). The findings reveal that RF delivers the highest accuracy among the three ML algorithms. Furthermore, the results indicate that 5G New Radio (NR) can benefit the most from this localization method due to the dense deployment of base stations, achieving median localization errors of 17.5 m and 106 m during the validation and testing phases, respectively.
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Hardware Design of Mobile Probe for Validating 5G-IoT Technologies
Paluřík, Pavel ; Dvořák, Radim
The evolution of 5G-IoT systems (5G - Internet of Things) has had a significant impact on how modern IoT devices are viewed and has opened numerous new use-cases for such technologies. As the new technologies become widely available, more IoT-technology-driven devices are being adopted in many branches of the industry and more of the bussiness subjects opt for the new IoT-enabled devices over the standard devices. For some businesses, choosing the correct technology may proove challenging as their knowledge in the particular topic may be limited. In this paper we present the hardware design and initial test cases of a modular Mobile Probe for validating 5G-IoT technologies. The probe is intended to help bussinesses to make informed decisions for the particular use-case based on the autonomous measurements of various 5G-IoT technologies parameters. Due to it’s simplicity the probe could also serve as an educational platform for students. After the description of the hardware design, initial testing results for NB-IoT and LTE Cat-M technologies are presented and discussed in terms of the probe capabilities and compatibility with given technologies.
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Testing communication protocols using mobile technologies for the Internet of Things LTE-M and NB-IoT
Bartko, Samuel ; Dvořák, Radim (referee) ; Možný, Radek (advisor)
This thesis focuses on a comprehensive investigation and evaluation of the currently widespread communication protocols in the dynamically developing IoT sector (Internet of Things). With the proliferation of IoT, there is a need to create new technologies for efficient interconnection of hysical and digital worlds. The main objective of this work is to test and evaluate the suitability of use and optimal configuration of communication protocols in the context of the latest implementations of mobile technologies for IoT, namely LTE-M (Long-Term Evolution Machine Type Communication) and NB-IoT (Narrowband Internet of Things). This thesis investigates and evaluates the current communication protocols for the Internet of Things (IoT), focusing on LTE-M and NB-IoT. It includes a theoretical perspective on IoT, description of mobile technologies and analysis of protocols such as MQTT, CoAP and LwM2M. A practical part is devoted to testing and optimization of these protocols. The result of the work is providing\break a comprehensive overview and practical recommendations for use and configuration communication protocols in the framework of NB-IoT and LTE-M technologies.
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Intelligent Energy Measurements for Homeowners' Association Using 5G Networks
Horčička, Patrik ; Možný, Radek (referee) ; Mašek, Pavel (advisor)
Theoretical analysis of IoT communication technologies LPWAN. A more detailed analysis of 5G-IoT technologies in the licensed frequency band, such as NB-IoT and LTE Cat-M. List of supported application protocols for IoT devices (MQTT, CoAP, LwM2M, DLMS/COSEM) with more detailed information about DLMS/COSEM. Quectel UMTS \& LTE EVB kit with BG770A-GL module was used to create the first reference 5G-IoT device. Measuring of radio properties in two locations. Creation of TLS tunnel for communication between Virtual computer and RPI designed for DLMS/COSEM data.
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Transfer and processing sensoric data over NB-IoT network
Štěpka, Jan ; Arm, Jakub (referee) ; Bartík, Ondřej (advisor)
This thesis deals with the wireless sensoric data transmission over NB-IoT network. The theoretical part of this thesis is dedicated to the analysis of LPWAN technology, which is used in IoT devices. And it is also dedicated to the comparison and the analysis of possible NB-IoT providers. Practical part of this thesis deals with the software design for NB-IoT device, which measures physical data and transmits them to the server. Lastly, data are parsed and displayed on the web page.
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Quality Monitoring Device for Electrical Power Networks
Bartoň, Jan ; Šimek, Václav (referee) ; Vašíček, Zdeněk (advisor)
The diploma thesis deals with the parameters of electricity quality. The aim of this work is to design and implement a prototype device that will allow remote measurement of power quality. The proposed system uses NB-IoT technology for data transmission. The system enables remote measurement of important parameters of electrical energy, such as the magnitude of the supply voltage or the frequency of the electric network. The device can measure electric current, average voltage values and detect dip / swell voltage events. The device reads a sampled electrical signal suitable for harmonic analysis. The device has started to meet the requirements for measuring device of class S according to EN 61000-3-40.
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Wireless Sensory Network Using LoRa Technology
Mikulášek, Michal ; Pokorný, Jiří (referee) ; Škorpil, Vladislav (advisor)
The bachelor thesis focuses in the first half on the Internet of Things and the available wireless technologies for the Internet of Things. Each technology is characterized by its features, pros and cons, as well as the possibilities of using it in the Internet of Things. In the second half of the thesis, a practical design and construction of a LoRa network, consisting of a sensory and a central unit, is carried out. The parts of the solution are designed wiring schemes, printed circuit boards and detailed photo documentation. Additionaly the software solutions for both types of units are described, with detailed descriptions of the proposed features. The maximum possible range is tested and documented for the entire solution. Subsequently, a detailed measurement of the power consumption of the sensor unit is carried out and an extensive estimation of its battery life for a selected battery.
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Development of an IoT device for NB-IoT technology
Ježek, Jiří ; Štůsek, Martin (referee) ; Pokorný, Jiří (advisor)
The bachelor thesis deals with the design of the IoT sensor communicating with the modern technologies NB-IoT. In the theoretical part of the bachelor thesis are described properties of selected LPWAN networks for communication between long distance devices. Wireless networks are compared and evaluated based on bandwidth, power and sensitivity, transmission rates, types of modulation, and pricing. It is followed by Market Research with IoT devices communicating over LPWAN networks. The practical part deals with the design of equipment for the measurement of selected parameters of water and air quality communicating through NB-IoT wireless technology, software solution of the device and testing communication between the device and the server. The output of the practical part is the proposed circuit diagram, printed circuit board and C ++ written solution using the on-line development environment Mbed.
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Implementation and Performance Evaluation of the LTE Cat-M1 Communication Technology Utilizing the NS-3
Drápela, Zbyněk ; Číka, Petr (referee) ; Mašek, Pavel (advisor)
The diploma thesis deals with LTE Cat-M communication technologies and its implementation in the NS-3 simulation tool using the 5G-LENA NR module. The theoretical part describes LPWA technologies available in the Czech Republic. It also focuses on the LTE-M standard and especially LTE Cat-M1, which are described in more detail. The practical part describes the possibilities of LTE Cat-M1 simulation using simulation scenarios available for the older version of NS-3, and also some modifications to the current version of NS-3 and the 5G-LENA NR module are designed and implemented.
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