Abstract
Understanding radio propagation characteristics and developing channel models is fundamental to building and operating wireless communication systems. Among others uses, channel characterization and modeling can be used for coverage and performance analysis and prediction. Within this context, this paper describes a comprehensive dataset of channel measurements performed to analyze outdoor-to-indoor propagation characteristics in the mid-band spectrum identified for the operation of 5th Generation (5G) cellular systems. Previous efforts to analyze outdoor-to-indoor propagation characteristics in this band were made by using measurements collected on dedicated, mostly single-link setups. Hence, measurements performed on deployed and operational 5G networks still lack in the literature. To fill this gap, this paper presents a dataset of measurements performed over commercial 5G networks. In particular, the dataset includes measurements of channel power delay profiles from two 5G networks in Band n78, i.e., 3.3–3.8 GHz. Such measurements were collected at multiple locations in a large office building in the city of Rome, Italy by using the Rohde & Schwarz (R&S) TSMA6 network scanner during several weeks in 2020 and 2021. A primary goal of the dataset is to provide an opportunity for researchers to investigate a large set of 5G channel measurements, aiming at analyzing the corresponding propagation characteristics toward the definition and refinement of empirical channel propagation models.
Highlights
The New Radio (NR) standard of 5th Generation (5G) cellular networks promises to connect a massive number of heterogeneous devices, accommodate high data rates, and support low latency applications [1,2]
This paper presents a dataset of measurements performed over commercial 5G networks operating in the mid-band
The dataset can serve as the basis for multiple analyses, including comprehensive channel propagation characterizations and modeling, based on real-deployed networks and standardized signals
Summary
The New Radio (NR) standard of 5G cellular networks promises to connect a massive number of heterogeneous devices, accommodate high data rates, and support low latency applications [1,2]. Various 5G use cases target indoor scenarios, such as smart buildings with different types of sensors, factory automation, object tracking in a factory, remote control of robotic machinery, and automated vehicles in logistic applications, to mention a few [13–16]. These scenarios are likely to be addressed via outdoor deployments of 5G Base Stations (BS). This paper fills the above gap by making open-source a dataset of outdoor-to-indoor measurements collected on commercial 5G mid-band systems deployed in an urban scenario. To the best of our knowledge, this is the first work to provide a large-scale dataset of measurements performed over commercially deployed 5G mid-band networks in an outdoor-to-indoor scenario.
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