A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas
The fifth-generation (5G) New Radio (NR) cellular network has been launched recently. The assignment of new spectrum bands and the widespread use of Massive MIMO (MaMIMO) and beamforming techniques for better radio coverage are two major features of the new architecture. They imply both opportunitie...
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doaj-b610079b8306417e8be1e5fb31c8f9af2021-03-30T03:59:29ZengIEEEIEEE Access2169-35362020-01-01817195617196710.1109/ACCESS.2020.30247649200351A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO AntennasSara Adda0https://orcid.org/0000-0002-4031-5029Tommaso Aureli1https://orcid.org/0000-0001-5959-0074Stefano Coltellacci2https://orcid.org/0000-0002-1548-5229Stefano D'Elia3https://orcid.org/0000-0002-6211-8819Daniele Franci4https://orcid.org/0000-0003-0096-6094Enrico Grillo5Nicola Pasquino6https://orcid.org/0000-0002-3548-299XSettimio Pavoncello7https://orcid.org/0000-0002-1089-4103Riccardo Suman8https://orcid.org/0000-0002-4104-2405Mattia Vaccarono9https://orcid.org/0000-0002-5965-7651Dipartimento Rischi Fisici e Tecnologici, Arpa Piemonte, Torino, ItalyAgenzia per la Protezione Ambientale del Lazio (ARPA Lazio), Rome, ItalyAgenzia per la Protezione Ambientale del Lazio (ARPA Lazio), Rome, ItalyVodafone Italia SpA, Group Network, Mobile Access Engineering, Torino, ItalyAgenzia per la Protezione Ambientale del Lazio (ARPA Lazio), Rome, ItalyAgenzia per la Protezione Ambientale del Lazio (ARPA Lazio), Rome, ItalyDipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Napoli, ItalyAgenzia per la Protezione Ambientale del Lazio (ARPA Lazio), Rome, ItalyVodafone Italia SpA, Group Network, Mobile Access Engineering, Torino, ItalyDipartimento Rischi Fisici e Tecnologici, Arpa Piemonte, Torino, ItalyThe fifth-generation (5G) New Radio (NR) cellular network has been launched recently. The assignment of new spectrum bands and the widespread use of Massive MIMO (MaMIMO) and beamforming techniques for better radio coverage are two major features of the new architecture. They imply both opportunities and challenges, one of the most daring one among the latter ones is the research for methods to assess human exposure to electromagnetic fields radiated by the base stations. The long-term time-varying behavior and spatial multiplexing feature of the MaMIMO antennas, along with the radio resource utilization and adoption of Time-Division Duplexing (TDD), requires that the assessment of exposure to electromagnetic fields radiated by 5G systems is based on a statistical approach that relies on the space and time distribution of the radiated power. That, in turn, is determined through simulations based on the actual maximum transmitted power - defined as the 95<sup>th</sup> percentile of the empirical distribution obtained from historical data of radiated power - rather than on the nominal one. To ensure that exposure limits are never exceeded, a monitoring and control system (usually referred to as Power Lock (PL)) that limits the transmitted power can be used. In this paper we propose a methodology, independent from the specific technical solution implemented by the manufacturer, to characterize such control systems and determine their capability to limit the average power transmitted over a given time interval to a value that keeps the corresponding average exposure to electromagnetic fields below a specified value. Experimental results show the effectiveness of the methodology and that it can also be used to identify when the PL interacts with the higher levels of the MaMIMO system architecture.https://ieeexplore.ieee.org/document/9200351/Radio frequency electromagnetic fieldsexposure assessmentmassive MIMO5Gnew radiomeasurements |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sara Adda Tommaso Aureli Stefano Coltellacci Stefano D'Elia Daniele Franci Enrico Grillo Nicola Pasquino Settimio Pavoncello Riccardo Suman Mattia Vaccarono |
spellingShingle |
Sara Adda Tommaso Aureli Stefano Coltellacci Stefano D'Elia Daniele Franci Enrico Grillo Nicola Pasquino Settimio Pavoncello Riccardo Suman Mattia Vaccarono A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas IEEE Access Radio frequency electromagnetic fields exposure assessment massive MIMO 5G new radio measurements |
author_facet |
Sara Adda Tommaso Aureli Stefano Coltellacci Stefano D'Elia Daniele Franci Enrico Grillo Nicola Pasquino Settimio Pavoncello Riccardo Suman Mattia Vaccarono |
author_sort |
Sara Adda |
title |
A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas |
title_short |
A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas |
title_full |
A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas |
title_fullStr |
A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas |
title_full_unstemmed |
A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas |
title_sort |
methodology to characterize power control systems for limiting exposure to electromagnetic fields generated by massive mimo antennas |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
The fifth-generation (5G) New Radio (NR) cellular network has been launched recently. The assignment of new spectrum bands and the widespread use of Massive MIMO (MaMIMO) and beamforming techniques for better radio coverage are two major features of the new architecture. They imply both opportunities and challenges, one of the most daring one among the latter ones is the research for methods to assess human exposure to electromagnetic fields radiated by the base stations. The long-term time-varying behavior and spatial multiplexing feature of the MaMIMO antennas, along with the radio resource utilization and adoption of Time-Division Duplexing (TDD), requires that the assessment of exposure to electromagnetic fields radiated by 5G systems is based on a statistical approach that relies on the space and time distribution of the radiated power. That, in turn, is determined through simulations based on the actual maximum transmitted power - defined as the 95<sup>th</sup> percentile of the empirical distribution obtained from historical data of radiated power - rather than on the nominal one. To ensure that exposure limits are never exceeded, a monitoring and control system (usually referred to as Power Lock (PL)) that limits the transmitted power can be used. In this paper we propose a methodology, independent from the specific technical solution implemented by the manufacturer, to characterize such control systems and determine their capability to limit the average power transmitted over a given time interval to a value that keeps the corresponding average exposure to electromagnetic fields below a specified value. Experimental results show the effectiveness of the methodology and that it can also be used to identify when the PL interacts with the higher levels of the MaMIMO system architecture. |
topic |
Radio frequency electromagnetic fields exposure assessment massive MIMO 5G new radio measurements |
url |
https://ieeexplore.ieee.org/document/9200351/ |
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