Downlink Massive MIMO Systems: Reduction of Pilot Contamination for Channel Estimation with Perfect Knowledge of Large-Scale Fading

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dc.contributor.authorAbdullah, Qazwan
dc.contributor.authorShah, Nor Shahida Mohd
dc.contributor.authorSalh, Adeb
dc.contributor.authorAlmohammedi, Akram A.
dc.contributor.authorAnuar, Shipun Hamza
dc.contributor.authorSaeed, A. B. Bin
dc.date.accessioned2024-09-29T16:07:51Z
dc.date.available2024-09-29T16:07:51Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractMassive multiple-input multiple-output (MIMO) technology is considered crucial for the development of future fifth-generation (5G) systems. However, a limitation of massive MIMO systems arises from the lack of orthogonality in the pilot sequences transmitted by users from a single cell to neighboring cells. To address this constraint, a proposed solution involves utilizing orthogonal pilot reuse sequences (PRS) and zero forced (ZF) pre-coding techniques. The primary objective of these techniques is to eradicate channel interference and improve the experience of end users who are afflicted by low-quality channels. The assessment of the channel involves evaluating its quality through channel assessment, conducting comprehensive evaluations of large-scale shutdowns, and analyzing the maximum transmission efficiency. By assigning PRS to a group of users, the proposed approach establishes lower bounds for the achievable downlink data rate (DR) and signal-to-interference noise ratio (SINR). These bounds are derived by considering the number of antennas approaches infinity which helps mitigate interference. Simulation results demonstrate that the utilization of improved channel evaluation and reduced loss leads to higher DR. When comparing different precoding techniques, the ZF method outperforms maximum ratio transmission (MRT) precoders in achieving a higher DR, particularly when the number of cells reaches y(p) = 7.en_US
dc.description.sponsorshipUniversity Tun Hussein Onn Malaysia (UTHM) [FRGS/1/2019/TK04/UTHM/02/8, vot Q444]en_US
dc.description.sponsorshipThe authors would like to thank to University Tun Hussein Onn Malaysia (UTHM) for sponsoring this work and the authors would like to acknowledge the funding support provided by University Tun Hussein Onn Malaysia (UTHM) under FRGS/1/2019/TK04/UTHM/02/8 and under (UTHM) through Tier 1 (vot Q444) .en_US
dc.identifier.doi10.30880/ijie.2023.15.03.024
dc.identifier.endpage239en_US
dc.identifier.issn2229-838X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85176320066en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage227en_US
dc.identifier.urihttps://doi.org/10.30880/ijie.2023.15.03.024
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7219
dc.identifier.volume15en_US
dc.identifier.wosWOS:001108735300004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Tun Hussein Onn Malaysiaen_US
dc.relation.ispartofInternational Journal of Integrated Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMassive MIMOen_US
dc.subjectfifth generation (5G)en_US
dc.subjectSINRen_US
dc.subjectMRTen_US
dc.titleDownlink Massive MIMO Systems: Reduction of Pilot Contamination for Channel Estimation with Perfect Knowledge of Large-Scale Fadingen_US
dc.typeArticleen_US

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