Publication
Multicarrier Waveform Candidates for Beyond 5G
dc.contributor.author | khan, Bahram | |
dc.contributor.author | Velez, Fernando J. | |
dc.date.accessioned | 2020-07-13T08:52:52Z | |
dc.date.available | 2020-07-13T08:52:52Z | |
dc.date.issued | 2020-11-10 | |
dc.description.abstract | To 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.sponsorship | This 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.version | info:eu-repo/semantics/acceptedVersion | pt_PT |
dc.identifier.doi | 10.1109/CSNDSP49049.2020.9249568 | |
dc.identifier.uri | http://hdl.handle.net/10400.6/10348 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Institute of Electrical and Electronics Engineers - IEEE | |
dc.relation | Instituto de Telecomunicações | |
dc.relation | New RAN TEchniques for 5G UltrA-dense Mobile networks | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | 5G | pt_PT |
dc.subject | UFMC | pt_PT |
dc.subject | FBMC | pt_PT |
dc.subject | F-OFDM | pt_PT |
dc.subject | GFDM | pt_PT |
dc.subject | Multicarrier waveforms | pt_PT |
dc.title | Multicarrier Waveform Candidates for Beyond 5G | pt_PT |
dc.type | preprint | |
dspace.entity.type | Publication | |
oaire.awardTitle | Instituto de Telecomunicações | |
oaire.awardTitle | New RAN TEchniques for 5G UltrA-dense Mobile networks | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/5665-PICT/CMU%2FECE%2F0030%2F2017/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/813391/EU | |
oaire.citation.conferencePlace | Porto, Portugal | pt_PT |
oaire.citation.title | 12th IEEE / IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP 2020), July 20-22, Online | pt_PT |
oaire.fundingStream | 5665-PICT | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | H2020 | |
person.familyName | khan | |
person.familyName | Velez | |
person.givenName | Bahram | |
person.givenName | Fernando J. | |
person.identifier | 1321053 | |
person.identifier.ciencia-id | 571A-9644-72EB | |
person.identifier.ciencia-id | 1510-E247-C9DB | |
person.identifier.orcid | 0000-0001-6905-7329 | |
person.identifier.orcid | 0000-0001-9680-123X | |
person.identifier.rid | AAN-2003-2021 | |
person.identifier.scopus-author-id | 57208424797 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100008530 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | European Commission | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | preprint | pt_PT |
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relation.isAuthorOfPublication.latestForDiscovery | 99b4f8e2-56c6-40b1-aeaa-61e8bdb369ef | |
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relation.isProjectOfPublication.latestForDiscovery | 2bece073-0fd1-4f5e-a978-e2709b1c5713 |
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