In this paper, we propose a machine learning-based al-gorithm, labelled MLMCOS, that uses a multi-classification approach to mitigate co-tier interference in a 5G HetNet.
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The results of the study showed the feasibility of co-existence between 5G NR and satellite systems in the 6425–7125 MHz bands, and that no negative impact on the performance of the satellite links is
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This review will guide scholars to comprehend various existing and emerging interference challenges, for further exploration and mitigation for the smooth implementation of the 5G network.
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Some countries and regions are currently considering 5G services in the 3.5 GHz band, and the widespread deployment of 5G systems may cause interference to Fixe
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In this manuscript, we present a novel deployment protection method aimed at safeguarding aeronautical radio altimeters (RAs) from interference caused by fifth-generation (5G)
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Future deployment of 5G NR base stations in the 6425–7125 MHz band raises numerous concerns over the long-term impact on the satellite transponders located in geostationary orbit.
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Future deployment of 5G NR base stations in the 6425–7125 MHz band raises numerous concerns over the long-term impact on the satellite transponders located in geostationary orbit.
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Deployment Protection for Interference of 5G Base Stations · In this manuscript, we present a novel deployment protection method aimed at safeguarding aeronautical radio altimeters (RAs)
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Due to high equivalent isotropic radiated power (EIRP) adopted by the FSS, the interference that FSS may cause into 5G is garnering research interest. This research aims to establish an analytical
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Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques with Ultra-Dense
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