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dc.contributor.authorChukhno, Nadezhda
dc.contributor.authorChukhno, Olga
dc.contributor.authorMoltchanov, Dmitri
dc.contributor.authorMolinaro, Antonella
dc.contributor.authorGaidamaka, Yuliya
dc.contributor.authorSamouylov, Konstantin
dc.contributor.authorKoucheryavy, Yevgeni
dc.contributor.authorARANITI, Giuseppe
dc.date.accessioned2022-07-21T10:26:35Z
dc.date.available2022-07-21T10:26:35Z
dc.date.issued2021-12
dc.identifier.citationN. Chukhno et al., "Optimal Multicasting in Millimeter Wave 5G NR With Multi-Beam Directional Antennas," in IEEE Transactions on Mobile Computing, vol. 22, no. 6, pp. 3572-3588, 1 June 2023, doi: 10.1109/TMC.2021.3136298.ca_CA
dc.identifier.issn1536-1233
dc.identifier.issn1558-0660
dc.identifier.urihttp://hdl.handle.net/10234/198575
dc.description.abstractThe support of multicast communications in the fifth-generation (5G) New Radio (NR) system poses unique challenges to system designers. Particularly, the highly directional antennas do not allow to serve all the user equipment devices (UEs) that belong to the same multicast session in a single transmission. However, the capability of modern antenna arrays to utilize multiple beams simultaneously, with potentially varying half-power beamwidth, adds a new degree of freedom to the UE scheduling. This work addresses the challenge of optimal multicasting in 5G millimeter wave (mmWave) systems by presenting a globally optimal solution for multi-beam antenna operation. The optimization problem is formulated as a special case of multi-period variable cost and size bin packing problem that allows to not impose any constraints on the number of the beams and their configurations. We also propose heuristic solutions having polynomial time complexity. Our results show that for small cell radii of up to 100 meters, a single beam is always utilized. For higher cell coverage and practical ranges of the number of users (5-50), the optimal number of beams is upper bounded by 3.ca_CA
dc.format.extent18 p.ca_CA
dc.language.isoengca_CA
dc.publisherInstitute of Electrical and Electronics Engineersca_CA
dc.relation.isPartOfIEEE Transactions on Mobile Computing (TMC), 2023, 22, 6ca_CA
dc.subject5Gca_CA
dc.subjectNew Radioca_CA
dc.subjectMillimeter Waveca_CA
dc.subjectMulticastca_CA
dc.subjectMulti-beam antennasca_CA
dc.subjectOptimizationca_CA
dc.subjectHeuristic Algorithmsca_CA
dc.titleOptimal Multicasting in Millimeter Wave 5G NR with Multi-beam Directional Antennasca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doi10.1109/TMC.2021.3136298
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttps://ieeexplore.ieee.org/document/9655483ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameUnión Europeaca_CA
project.funder.nameRUDN Universityca_CA
project.funder.nameRFBRca_CA
oaire.awardNumber813278ca_CA
oaire.awardNumber9-07-00933ca_CA
oaire.awardNumber20-07-01064ca_CA
oaire.awardURIhttps://cordis.europa.eu/project/id/813278/esca_CA


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