Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios

Malarski, Krzysztof Mateusz; Thrane, Jakob; Christiansen, Henrik Lehrmann; Ruepp, Sarah

doi:10.1109/jiot.2020.3027829

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…In comparison, the authors of [173] proposed an empirical outdoor to deep-indoor PL model for NB-IoT at sub-GHz frequencies. The deep-indoor environment considered is an underground tunnel, where distance-related (Tx-Rx distance) and tunnel-related features (such as the closest corridors, the distance and angle to the farthest tunnel corner, and the distances to the tunnel walls and ceiling) were characterized to develop the empirical PL model.…”

Section: A Cellular-based Wireless Iot Channel Modeling and Character...mentioning

confidence: 99%

Wireless Transmissions, Propagation and Channel Modelling for IoT Technologies: Applications and Challenges

et al. 2022

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The Internet of Things (IoT) has rapidly expanded for a wide range of applications towards a smart future world by connecting everything. As a result, new challenges emerge in meeting the requirements of IoT applications while retaining optimal performance. These challenges may include power consumption, quality of service, localization, security, and accurate modeling and characterization of wireless channel propagation. Among these challenges, the latter is critical to establishing point-to-point wireless communication between the sensors. Channel modeling also varies depending on the features of the surrounding area, which have a direct impact on the propagation of wireless signals. This presents a difficult task for network planners to efficiently design and deploy IoT applications without understanding the appropriate channel model to analyze coverage and predict optimal deployment configurations. As a result, this challenge has attracted considerable interest in academic and industrial communities in recent years. Therefore, this review presents an overview of current breakthroughs in wireless IoT technologies. The challenges in such applications are then briefly reviewed, focusing on wireless channel propagation modeling and characterization. Finally, the study gives a generalized form of commonly used channel models and a summary of recent channel modeling developments for wireless IoT technology. The outcome of this review is expected to provide a new understanding of the propagation behavior of present and future wireless IoT technologies, allowing network engineers to undertake correct planning and deployment in any environment. Additionally, the study may serve as a guideline for future channel modeling and characterization studies.

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Section: A Cellular-based Wireless Iot Channel Modeling and Character...mentioning

confidence: 99%

Wireless Transmissions, Propagation and Channel Modelling for IoT Technologies: Applications and Challenges

et al. 2022

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A Service-Oriented Energy Efficient Resource Allocation Approach for Wireless Communications of the Tunnel Construction

Ning

Wang

Tang

et al. 2023

IEEE Trans. Veh. Technol.

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Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks

Roosipuu

Annus

Kuusik

et al. 2023

Water Science &Amp; Technology

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Narrow-Band-Internet of Things (NB-IoT) is a promising wireless communication technology for harsh signal propagation conditions, including underground connectivity. The purpose of this study is to evaluate the real-life signal quality of an NB-IoT cellular sensor network for the monitoring and control of urban drainage systems. The implementation of the control systems and the transformation toward smart infrastructures increase the need for low-cost and low-energy-consumption underground sensing devices. A measurement campaign was conducted in Rakvere, Estonia, to analyze the NB-IoT network's coverage and underground signal quality. The results were used to analyze the flood risk reduction potential in the pilot catchment, considering the quality of NB-IoT cellular network coverage. The signal measurements showed that in the case of plastic manholes, the best cellular transmitter placement is 0.5 m below the manhole cover, and at the ground level NB-RSRP reference signal strength of −104 dBm or better must be ensured to have a link budget with optimal energy consumption for communication. The results of flood risk reduction showed that excluding control locations with insufficient signal strength increased the number of major flooding nodes by 3.9% and mean flooding duration by 4.2% which is a relatively small change and characterizes the flexibility of the developed control system.

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Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios

Cited by 3 publications

References 23 publications

Wireless Transmissions, Propagation and Channel Modelling for IoT Technologies: Applications and Challenges

Wireless Transmissions, Propagation and Channel Modelling for IoT Technologies: Applications and Challenges

A Service-Oriented Energy Efficient Resource Allocation Approach for Wireless Communications of the Tunnel Construction

Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks

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