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dc.contributor.authorAl-Sadoon, M.A.G.
dc.contributor.authorPatwary, M.N.
dc.contributor.authorZahedi, Y.
dc.contributor.authorOjaroudi Parchin, Naser
dc.contributor.authorAldelemy, Ahmad
dc.contributor.authorAbd-Alhameed, Raed A.
dc.date.accessioned2022-05-26T14:19:12Z
dc.date.accessioned2022-06-10T10:11:00Z
dc.date.available2022-05-26T14:19:12Z
dc.date.available2022-06-10T10:11:00Z
dc.date.issued2022-05-30
dc.identifier.citationAl-Sadoon MAG, Patwary MN, Zahedi Y et al (2022) A New Beamforming Approach Using 60 GHz Antenna Arrays for Multi–Beams 5G Applications. Electronics. 11: 1739.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18992
dc.descriptionYesen_US
dc.description.abstractRecent studies and research have centred on new solutions in different elements and stages to the increasing energy and data rate demands for the fifth generation and beyond (B5G). Based on a new-efficient digital beamforming approach for 5G wireless communication networks, this work offers a compact-size circular patch antenna operating at 60 GHz and covering a 4 GHz spectrum bandwidth. Massive Multiple Input Multiple Output (M–MIMO) and beamforming technology build and simulate an active multiple beams antenna system. Thirty-two linear and sixty-four planar antenna array configurations are modelled and constructed to work as base stations for 5G mobile communication networks. Furthermore, a new beamforming approach called Projection Noise Correlation Matrix (PNCM) is presented to compute and optimise the fed weights of the array elements. The key idea of the PNCM method is to sample a portion of the measured noise correlation matrix uniformly in order to provide the best representation of the entire measured matrix. The sampled data will then be utilised to build a projected matrix using the pseudoinverse approach in order to determine the best fit solution for a system and prevent any potential singularities caused by the matrix inversion process. The PNCM is a low-complexity method since it avoids eigenvalue decomposition and computing the entire matrix inversion procedure and does not require including signal and interference correlation matrices in the weight optimisation process. The suggested approach is compared to three standard beamforming methods based on an intensive Monte Carlo simulation to demonstrate its advantage. The experiment results reveal that the proposed method delivers the best Signal to Interference Ratio (SIR) augmentation among the compared beamformersen_US
dc.language.isoenen_US
dc.publisherMDPI
dc.relation.isreferencedbyhttps://doi.org/10.3390/electronics11111739en_US
dc.rights(c) 2022 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/)en_US
dc.subject5Gen_US
dc.subjectAntenna arraysen_US
dc.subjectBeamformingen_US
dc.subjectCircular patch antennaen_US
dc.subjectMassive MIMOen_US
dc.subjectMulti beamsen_US
dc.subjectUniform samplingen_US
dc.subjectWeights optimisationen_US
dc.titleA New Beamforming Approach Using 60 GHz Antenna Arrays for Multi–Beams 5G Applicationsen_US
dc.status.refereedYesen_US
dc.date.Accepted2022-05-24
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.rights.licenseCC-BYen_US
dc.date.updated2022-05-26T14:19:14Z
refterms.dateFOA2022-06-10T10:11:21Z
dc.openaccess.statusopenAccessen_US


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