Deep Learning-Based Cell-Level and Beam-Level Mobility Management System

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dc.contributor.authorKlus, R.
dc.contributor.authorKlus, L.
dc.contributor.authorSolomitckii, D.
dc.contributor.authorTalvitie, J.
dc.contributor.authorValkama, M.
dc.date.accessioned2021-12-23T12:58:16Z
dc.date.available2021-12-23T12:58:16Z
dc.date.issued2020
dc.description.abstractThe deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements.en_ES
dc.identifier.citationKlus, R., Klus, L., Solomitckii, D., Talvitie, J., & Valkama, M. (2020). Deep Learning-Based Cell-Level and Beam-Level Mobility Management System. En Sensors (Basel) (Vol. 20, Número 24). https://doi.org/10.3390/s20247124en_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3201
dc.language.isoen_USen_ES
dc.publisherSensors (Basel)en_ES
dc.subject5Gen_ES
dc.subjectNEW RADIOen_ES
dc.subjectARTIFICIAL NEURAL NETWORKen_ES
dc.subjectBEAM-LEVEL MOBILITYen_ES
dc.subjectHANDOVER MOBILITYen_ES
dc.subjectMANAGEMENT SUPERVISED LEARNINGen_ES
dc.titleDeep Learning-Based Cell-Level and Beam-Level Mobility Management Systemen_ES
dc.typeArticuloen_ES
dc.ubicacionhttps://doi.org/10.3390/s20247124en_ES
uv.catalogadorSGGen_ES
uv.colectionBibliografía 5Gen_ES

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