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Research on Reliable Low-Power Wide-Area Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications
Štůsek, Martin ; Grochla, Krzysztof (oponent) ; Curado, Marilia (oponent) ; Hošek, Jiří (vedoucí práce)
This doctoral thesis addresses the “Research on Reliable Low-Power Wide-Area Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications”. Despite the immense progress in massive Machine-Type Communication (mMTC) technology enablers such as Low-Power Wide-Area (LPWA) networks, their performance does not have to satisfy the requirements of novelty Internet of Things (IoT) applications. The main goal of this Ph.D. work is to explore and evaluate the limitations of current LPWA technologies and propose novel mechanisms facilitating coverage planning and assessment. Proposed frameworks are fine-tuned and cross-validated by the extensive measurement campaigns conducted in public LPWA networks. This doctoral thesis further introduces the novelty approach of multi-RAT LPWA devices to overcome the performance limitation of individual LPWA technologies. The current implementation primarily focuses on diminishing the greatest multi-RAT solutions disadvantage, i.e., increased power consumption by employing a machine learning approach to radio interface selection.
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Heterogeneous Connectivity of Mobile Devices in 5G Wireless Systems
Mašek, Pavel ; Róka, Rastislav (oponent) ; Martinek,, Radek (oponent) ; Hošek, Jiří (vedoucí práce)
This dissertation thesis addresses the "Heterogeneous Connectivity of Mobile Devices in 5G Wireless Systems". Despite decisive progress in many enabling solutions, next-generation cellular deployments still suffer from a~glaring lack of bandwidth due to inefficient utilization of radio spectrum, which calls for immediate action. The main aim of this Ph.D. work is to propose novel mechanisms providing proximity-based (cellular-assisted) networking and communication algorithms for dynamic allocation of spectrum resources in fifth-generation (5G) systems. Proposed communication mechanisms are comprehensively evaluated by the developed simulation tools (calibrated with the 3GPP data sets) as well as within the experimental 3GPP LTE-A cellular deployment at Brno University of Technology (BUT), Czech Republic. Obtained practical results (supported by novel mathematical analysis in characteristic scenarios) become instrumental to facilitate more dynamic bandwidth sharing. Thus, they promise to improve the degrees of spectrum utilization in future 5G systems without compromising the service quality and user experience (QoS and QoE) across different applications. As the main output of this thesis, particular research findings contributed in part to the 3GPP Release 12 specifications.
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Research on Reliable Low-Power Wide-Area Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications
Štůsek, Martin ; Grochla, Krzysztof (oponent) ; Curado, Marilia (oponent) ; Hošek, Jiří (vedoucí práce)
This doctoral thesis addresses the “Research on Reliable Low-Power Wide-Area Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications”. Despite the immense progress in massive Machine-Type Communication (mMTC) technology enablers such as Low-Power Wide-Area (LPWA) networks, their performance does not have to satisfy the requirements of novelty Internet of Things (IoT) applications. The main goal of this Ph.D. work is to explore and evaluate the limitations of current LPWA technologies and propose novel mechanisms facilitating coverage planning and assessment. Proposed frameworks are fine-tuned and cross-validated by the extensive measurement campaigns conducted in public LPWA networks. This doctoral thesis further introduces the novelty approach of multi-RAT LPWA devices to overcome the performance limitation of individual LPWA technologies. The current implementation primarily focuses on diminishing the greatest multi-RAT solutions disadvantage, i.e., increased power consumption by employing a machine learning approach to radio interface selection.
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Heterogeneous Connectivity of Mobile Devices in 5G Wireless Systems
Mašek, Pavel ; Róka, Rastislav (oponent) ; Martinek,, Radek (oponent) ; Hošek, Jiří (vedoucí práce)
This dissertation thesis addresses the "Heterogeneous Connectivity of Mobile Devices in 5G Wireless Systems". Despite decisive progress in many enabling solutions, next-generation cellular deployments still suffer from a~glaring lack of bandwidth due to inefficient utilization of radio spectrum, which calls for immediate action. The main aim of this Ph.D. work is to propose novel mechanisms providing proximity-based (cellular-assisted) networking and communication algorithms for dynamic allocation of spectrum resources in fifth-generation (5G) systems. Proposed communication mechanisms are comprehensively evaluated by the developed simulation tools (calibrated with the 3GPP data sets) as well as within the experimental 3GPP LTE-A cellular deployment at Brno University of Technology (BUT), Czech Republic. Obtained practical results (supported by novel mathematical analysis in characteristic scenarios) become instrumental to facilitate more dynamic bandwidth sharing. Thus, they promise to improve the degrees of spectrum utilization in future 5G systems without compromising the service quality and user experience (QoS and QoE) across different applications. As the main output of this thesis, particular research findings contributed in part to the 3GPP Release 12 specifications.
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