Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/39168
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dc.contributor.authorAndrade, Danielpt_PT
dc.contributor.authorMagueta, Robertopt_PT
dc.contributor.authorSilva, Adãopt_PT
dc.contributor.authorMarques, Paulopt_PT
dc.date.accessioned2023-08-03T15:06:28Z-
dc.date.available2023-08-03T15:06:28Z-
dc.date.issued2023-03-
dc.identifier.urihttp://hdl.handle.net/10773/39168-
dc.description.abstractThe current 5G-NR standard includes the transmission of multiple synchronization signal blocks (SSBs) in different directions to be exploited in beamforming techniques. However, choosing a pair of these beams leads to performance degradation, mainly for the cases where the transmit and receive beams are not aligned, because it considers that only few fixed directions among wide beams are established. Therefore, in this article, we design a new 3GPP-standard- compliant beam pair selection algorithm based on secondary synchronization signal (SSS) angle estimation (BSAE) that makes use of multiple synchronization signal blocks (SSBs) to maximize the reference signal received power (RSRP) value at the receiver. This optimization is performed using the SSSs present in each SSB to perform channel estimation in the digital domain. Afterwards, the combination of those estimations is used to perform equivalent channel propagation matrix estimation without the analog processing effects. Finally, through the estimated channel propagation matrix, the angle that maximizes the RSRP is determined to compute the most suitable beam. The proposed algorithm was evaluated and compared with a conventional beam pair selection algorithm. Ours has better performance results. Furthermore, the proposed algorithm achieved performance close to the optimal performance, where all channel state information (CSI) is available, emphasizing the interest of the proposed approach for practical 5G mmWave mMIMO implementations.pt_PT
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50008%2F2020/PTpt_PT
dc.relationPOCI-01-0247-FEDER-072224pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subject5Gpt_PT
dc.subjectNRpt_PT
dc.subject3GPPpt_PT
dc.subjectMassive MIMOpt_PT
dc.subjectMillimeter-wave communicationspt_PT
dc.subjectOFDMpt_PT
dc.subjectPHYpt_PT
dc.subjectRANpt_PT
dc.subjectBeamformingpt_PT
dc.subjectInitial accesspt_PT
dc.subjectBeam managementpt_PT
dc.titleBeamforming based on a SSS angle estimation algorithm for 5G NR networkspt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.issue3pt_PT
degois.publication.titleFuture Internetpt_PT
degois.publication.volume15pt_PT
dc.identifier.doi10.3390/fi15030105pt_PT
dc.identifier.essn1999-5903pt_PT
dc.identifier.articlenumber105pt_PT
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IT - Artigos

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