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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Main Authors: Sara Adda, Tommaso Aureli, Stefano Coltellacci, Stefano D'Elia, Daniele Franci, Enrico Grillo, Nicola Pasquino, Settimio Pavoncello, Riccardo Suman, Mattia Vaccarono
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
5G
Online Access:https://ieeexplore.ieee.org/document/9200351/
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spelling 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, Universit&#x00E0; 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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