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Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks

Ali, Usman (author)
Sapienza University of Rome, ITA
Caso, Giuseppe (author)
Ericsson Research
De Nardis, Luca (author)
Sapienza University of Rome, ITA
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Kousias, Konstantinos (author)
Simula Research Laboratory, NOR
Rajiullah, Mohammad, 1981- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
Alay, Özgü (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),University of Oslo, NOR
Neri, Marco (author)
Rohde & Schwarz, ITA
Brunström, Anna, 1967- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
Di Benedetto, Maria-Gabriella (author)
Sapienza University of Rome, ITA
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 (creator_code:org_t)
2022-03-15
2022
English.
In: Data. - : MDPI. - 2306-5729. ; 7:3, s. 34-34
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)

Keyword

radio channel measurements
outdoor-to-indoor propagation
5G mid-band
dataset
Computer Science
Datavetenskap

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ref (subject category)
art (subject category)

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