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Multicarrier Waveform Candidates for Beyond 5G

dc.contributor.authorkhan, Bahram
dc.contributor.authorVelez, Fernando J.
dc.date.accessioned2020-07-13T08:52:52Z
dc.date.available2020-07-13T08:52:52Z
dc.date.issued2020-11-10
dc.description.abstractTo fulfil the requirements of 5G vision of “everything everywhere and always connected”, a new waveform must contain the features to support a greater number of users on high data rate. Although Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in the 4th generation, but it can hardly meet the needs of 5G vision. However, many waveforms have been proposed to cope with new challenges. In this paper, we have presented a comparative analysis of several waveform candidates (FBMC, GFDM, UFMC, F-OFDM) on the basis of complexity, hardware design and other valuable characteristics. Filter based waveforms have much better Out of Band Emission (OoBE) as compared to OFDM. However, F-OFDM has smaller filter length compared to filter-based waveforms and provides better transmission with multiple antenna system without any extra processing, while providing flexible frequency multiplexing, shorter latency and relaxed synchronization as compared to other waveforms.pt_PT
dc.description.sponsorshipThis work is funded by Marie Skłodowska-Curie Actions (MSCA) ITN TeamUp5G (813391), ORCIP, CONQUEST (CMU/ECE/0030/2017), by UIDB/EEA/50008/2020, and by COST CA 15104. TeamUp5G project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie project number 813391.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.1109/CSNDSP49049.2020.9249568
dc.identifier.urihttp://hdl.handle.net/10400.6/10348
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineers - IEEE
dc.relationInstituto de Telecomunicações
dc.relationNew RAN TEchniques for 5G UltrA-dense Mobile networks
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subject5Gpt_PT
dc.subjectUFMCpt_PT
dc.subjectFBMCpt_PT
dc.subjectF-OFDMpt_PT
dc.subjectGFDMpt_PT
dc.subjectMulticarrier waveformspt_PT
dc.titleMulticarrier Waveform Candidates for Beyond 5Gpt_PT
dc.typepreprint
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleNew RAN TEchniques for 5G UltrA-dense Mobile networks
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5665-PICT/CMU%2FECE%2F0030%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/813391/EU
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.title12th IEEE / IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP 2020), July 20-22, Onlinept_PT
oaire.fundingStream5665-PICT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
person.familyNamekhan
person.familyNameVelez
person.givenNameBahram
person.givenNameFernando J.
person.identifier1321053
person.identifier.ciencia-id571A-9644-72EB
person.identifier.ciencia-id1510-E247-C9DB
person.identifier.orcid0000-0001-6905-7329
person.identifier.orcid0000-0001-9680-123X
person.identifier.ridAAN-2003-2021
person.identifier.scopus-author-id57208424797
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typepreprintpt_PT
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