IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service

The surging capacity demands of 5G networks and the limited coverage distance of high frequencies like millimeter-wave (mmW) and sub-terahertz (THz) bands have led to consider the upper 6 GHz (U6G) spectrum for radio access. However, due to the presence of the existing satellite (SAT) services in th...

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Main Authors: Reza Aghazadeh Ayoubi, Dario Tagliaferri, Filippo Morandi, Luca Rinaldi, Laura Resteghini, Christian Mazzucco, Umberto Spagnolini
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Communications Society
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Online Access:https://ieeexplore.ieee.org/document/10122608/
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author Reza Aghazadeh Ayoubi
Dario Tagliaferri
Filippo Morandi
Luca Rinaldi
Laura Resteghini
Christian Mazzucco
Umberto Spagnolini
author_facet Reza Aghazadeh Ayoubi
Dario Tagliaferri
Filippo Morandi
Luca Rinaldi
Laura Resteghini
Christian Mazzucco
Umberto Spagnolini
author_sort Reza Aghazadeh Ayoubi
collection DOAJ
description The surging capacity demands of 5G networks and the limited coverage distance of high frequencies like millimeter-wave (mmW) and sub-terahertz (THz) bands have led to consider the upper 6 GHz (U6G) spectrum for radio access. However, due to the presence of the existing satellite (SAT) services in these bands, it is crucial to evaluate the impact of the interference of terrestrial U6G stations to SAT systems. A comprehensive study on the aggregated U6G-to-SAT interference is still missing in the literature. In this paper, we propose a stochastic model of interference (SMI) to evaluate the U6G-to-SAT interference, including the statistical characterization of array gain and clutter-loss and considering different interference modes. Furthermore, we propose an approximate geometrical-based stochastic model of interference (GSMI) as an alternative method to SMI when the clutter-loss distribution is unavailable. Our results indicate that given the typical international mobile telecommunication (IMT) parameters, the aggregated interference power toward the geostationary (GEO) SATs, is well below the relevant protection criterion, and we prove numerically that the GSMI method overestimates the aggregated interference power with only 2 dB compared to the SMI method.
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institution Kabale University
issn 2644-125X
language English
publishDate 2023-01-01
publisher IEEE
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spelling doaj-art-bb18ad21407a494b8a5158d2450d09b42025-01-30T00:03:29ZengIEEEIEEE Open Journal of the Communications Society2644-125X2023-01-0141156116910.1109/OJCOMS.2023.327511410122608IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band ServiceReza Aghazadeh Ayoubi0https://orcid.org/0000-0002-5875-9015Dario Tagliaferri1https://orcid.org/0000-0002-5718-4571Filippo Morandi2https://orcid.org/0000-0002-6318-6741Luca Rinaldi3https://orcid.org/0000-0002-4283-4180Laura Resteghini4Christian Mazzucco5https://orcid.org/0000-0003-1973-551XUmberto Spagnolini6https://orcid.org/0000-0002-7047-2455Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyHuawei Technologies Italia S.r.l, Milan, ItalyHuawei Technologies Italia S.r.l, Milan, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyThe surging capacity demands of 5G networks and the limited coverage distance of high frequencies like millimeter-wave (mmW) and sub-terahertz (THz) bands have led to consider the upper 6 GHz (U6G) spectrum for radio access. However, due to the presence of the existing satellite (SAT) services in these bands, it is crucial to evaluate the impact of the interference of terrestrial U6G stations to SAT systems. A comprehensive study on the aggregated U6G-to-SAT interference is still missing in the literature. In this paper, we propose a stochastic model of interference (SMI) to evaluate the U6G-to-SAT interference, including the statistical characterization of array gain and clutter-loss and considering different interference modes. Furthermore, we propose an approximate geometrical-based stochastic model of interference (GSMI) as an alternative method to SMI when the clutter-loss distribution is unavailable. Our results indicate that given the typical international mobile telecommunication (IMT) parameters, the aggregated interference power toward the geostationary (GEO) SATs, is well below the relevant protection criterion, and we prove numerically that the GSMI method overestimates the aggregated interference power with only 2 dB compared to the SMI method.https://ieeexplore.ieee.org/document/10122608/Satellite communicationU6G6Gaggregated interferencestochastic geometry
spellingShingle Reza Aghazadeh Ayoubi
Dario Tagliaferri
Filippo Morandi
Luca Rinaldi
Laura Resteghini
Christian Mazzucco
Umberto Spagnolini
IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
IEEE Open Journal of the Communications Society
Satellite communication
U6G
6G
aggregated interference
stochastic geometry
title IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
title_full IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
title_fullStr IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
title_full_unstemmed IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
title_short IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service
title_sort imt to satellite stochastic interference modeling and coexistence analysis of upper 6 ghz band service
topic Satellite communication
U6G
6G
aggregated interference
stochastic geometry
url https://ieeexplore.ieee.org/document/10122608/
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