On the Performance of mm-Wave Massive MIMO Multi-Carrier Modulation Technique for Vehicle-to-Vehicle Communication

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dc.contributor.authorAl-Heety, A.T.
dc.contributor.authorMohammed, A.H.
dc.contributor.authorHamood, M.A.
dc.contributor.authorAbdullah, S.N.
dc.contributor.authorKhalaf, Q.M.
dc.contributor.authorAlkhateeb, I.I.
dc.date.accessioned2024-09-29T16:20:55Z
dc.date.available2024-09-29T16:20:55Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710en_US
dc.description.abstractIt is expected that the 5G network will cover more eventualities than what present mobile communications systems can handle. One of the primary anticipated future services is vehicle-to-vehicle (V2V) communications, which have demanding requirements at millimeter wave band frequencies. Waveforms that are spectrally confined and scalable are required to make the greatest use of the frequency resources which are currently available without interfering with nearby nodes. A common method used to reduce out-ofband emission is the filtering of OFDM. The use of OFDM results in a high Out of Band and a high Peak to Average Power Ratio (PAPR). This boosts the chances of hiring additional multicarrier waveform varieties to improve the Orthogonal frequency-division multiplexing responses. A collection of data can be transmitted simultaneously over several narrow-band subcarriers using Multi-Carrier Modulation (MCM) methods. MCM was used in this investigation in four different ways to start examining the performance of a single-user preceded mm-Wave massive MIMO wireless advancement systems: orthogonal frequency-division multiplexing, simplified frequency division multiplexing, filter bank multicarrier, and universal filtered multicarrier. These multicarrier modulation techniques rely on symbol and subcarrier filtering to reduce the effect of cyclic prefixes on the bit error rate (BER) and throughput of OFDM. Additionally, the impacts of phase noise are tested, and it is demonstrated that QAM-FBMC is phase noise resilient. © 2022 IEEE.en_US
dc.identifier.doi10.1109/ICAIoT57170.2022.10121888
dc.identifier.isbn979-835039676-8
dc.identifier.scopus2-s2.0-85160543053en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICAIoT57170.2022.10121888
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9412
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject5Gen_US
dc.subjectmassiveen_US
dc.subjectMIMOen_US
dc.subjectmm-waveen_US
dc.subjectV2Ven_US
dc.titleOn the Performance of mm-Wave Massive MIMO Multi-Carrier Modulation Technique for Vehicle-to-Vehicle Communicationen_US
dc.typeConference Objecten_US

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