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An Open Dataset Storage Standard for 6G Testbeds

Callebaut, Gilles ; Sandra, Michiel LU ; Nelson, Christian LU orcid ; Wilding, Thomas ; Delabie, Daan ; Deutschman, Benjamin J. B. ; Tärneberg, William LU ; Fitzgerald, Emma LU orcid ; Johansson, Anders LU orcid and Van der Perre, Liesbet (2023) p.347-352
Abstract
The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility and interoperability. In this study, we propose the Dataset Storage Standard (DSS) to address these challenges by facilitating data exchange and enabling convenient processing script creation in a testbed-agnostic manner. DSS supports both experimental and simulated data, allowing researchers to employ the same processing scripts and tools across... (More)
The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility and interoperability. In this study, we propose the Dataset Storage Standard (DSS) to address these challenges by facilitating data exchange and enabling convenient processing script creation in a testbed-agnostic manner. DSS supports both experimental and simulated data, allowing researchers to employ the same processing scripts and tools across different datasets. Unlike existing standardization efforts such as SigMF and NI RF Data Recording API, DSS provides a broader scope by accommodating a common definition file for testbeds and is not limited to RF data storage. The dataset format utilizes a hierarchical structure, with a tensor representation for specific experiment scenarios. In summary, DSS offers a comprehensive and flexible framework for enhancing the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) in 6G testbeds, promoting open and efficient data sharing in the research community. (Less)
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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2023 IEEE Conference on Antenna Measurements and Applications (CAMA)
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85182266673
ISBN
979-8-3503-2304-7
DOI
10.1109/CAMA57522.2023.10352848
project
Cyber Security for Next Generation Factory (SEC4FACTORY)
language
English
LU publication?
yes
id
7348fdaa-dca2-4062-b91d-2718635f9f37
date added to LUP
2024-01-09 15:19:54
date last changed
2024-03-28 21:28:33
@inproceedings{7348fdaa-dca2-4062-b91d-2718635f9f37,
  abstract     = {{The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility and interoperability. In this study, we propose the Dataset Storage Standard (DSS) to address these challenges by facilitating data exchange and enabling convenient processing script creation in a testbed-agnostic manner. DSS supports both experimental and simulated data, allowing researchers to employ the same processing scripts and tools across different datasets. Unlike existing standardization efforts such as SigMF and NI RF Data Recording API, DSS provides a broader scope by accommodating a common definition file for testbeds and is not limited to RF data storage. The dataset format utilizes a hierarchical structure, with a tensor representation for specific experiment scenarios. In summary, DSS offers a comprehensive and flexible framework for enhancing the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) in 6G testbeds, promoting open and efficient data sharing in the research community.}},
  author       = {{Callebaut, Gilles and Sandra, Michiel and Nelson, Christian and Wilding, Thomas and Delabie, Daan and Deutschman, Benjamin J. B. and Tärneberg, William and Fitzgerald, Emma and Johansson, Anders and Van der Perre, Liesbet}},
  booktitle    = {{2023 IEEE Conference on Antenna Measurements and Applications (CAMA)}},
  isbn         = {{979-8-3503-2304-7}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{347--352}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{An Open Dataset Storage Standard for 6G Testbeds}},
  url          = {{http://dx.doi.org/10.1109/CAMA57522.2023.10352848}},
  doi          = {{10.1109/CAMA57522.2023.10352848}},
  year         = {{2023}},
}