Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks
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...
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| Format: | Article |
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MDPI AG
2022-03-01
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| Online Access: | https://www.mdpi.com/2306-5729/7/3/34 |
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| author | Usman Ali Giuseppe Caso Luca De Nardis Konstantinos Kousias Mohammad Rajiullah Özgü Alay Marco Neri Anna Brunstrom Maria-Gabriella Di Benedetto |
| author_facet | Usman Ali Giuseppe Caso Luca De Nardis Konstantinos Kousias Mohammad Rajiullah Özgü Alay Marco Neri Anna Brunstrom Maria-Gabriella Di Benedetto |
| author_sort | Usman Ali |
| collection | DOAJ |
| description | 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 <i>mid-band</i> 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. |
| first_indexed | 2024-03-09T13:47:11Z |
| format | Article |
| id | doaj.art-68c8b9c51f1b4c5797559ac6ceebc24f |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-09T13:47:11Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-68c8b9c51f1b4c5797559ac6ceebc24f2023-11-30T20:58:22ZengMDPI AGData2306-57292022-03-01733410.3390/data7030034Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational NetworksUsman Ali0Giuseppe Caso1Luca De Nardis2Konstantinos Kousias3Mohammad Rajiullah4Özgü Alay5Marco Neri6Anna Brunstrom7Maria-Gabriella Di Benedetto8Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyEricsson Research, Radio Systems and Standards, Ericsson AB, 164 40 Kista, SwedenDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Engineering Complex Software Systems, Simula Research Laboratory, 0164 Oslo, NorwayDepartment of Computer Science, Karlstad University, 651 88 Karlstad, SwedenDepartment of Computer Science, Karlstad University, 651 88 Karlstad, SwedenRohde & Schwarz, 00156 Rome, ItalyDepartment of Computer Science, Karlstad University, 651 88 Karlstad, SwedenDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyUnderstanding 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 <i>mid-band</i> 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.https://www.mdpi.com/2306-5729/7/3/34radio channel measurementsoutdoor-to-indoor propagation5G mid-banddataset |
| spellingShingle | Usman Ali Giuseppe Caso Luca De Nardis Konstantinos Kousias Mohammad Rajiullah Özgü Alay Marco Neri Anna Brunstrom Maria-Gabriella Di Benedetto Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks Data radio channel measurements outdoor-to-indoor propagation 5G mid-band dataset |
| title | Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks |
| title_full | Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks |
| title_fullStr | Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks |
| title_full_unstemmed | Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks |
| title_short | Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks |
| title_sort | large scale dataset for the analysis of outdoor to indoor propagation for 5g mid band operational networks |
| topic | radio channel measurements outdoor-to-indoor propagation 5G mid-band dataset |
| url | https://www.mdpi.com/2306-5729/7/3/34 |
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