Publication
Optimization of mixed numerology profiles for 5G wireless communication scenarios
| dc.contributor.author | Correia, Noélia | |
| dc.contributor.author | Al-Tam, Faroq | |
| dc.contributor.author | Rodriguez, Jonathan | |
| dc.date.accessioned | 2021-03-08T23:08:24Z | |
| dc.date.available | 2021-03-08T23:08:24Z | |
| dc.date.issued | 2021-02-21 | |
| dc.date.updated | 2021-02-26T14:42:00Z | |
| dc.description.abstract | The management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60–100%, whereas a non-optimized approach provides 40–65%, while minimizing the total number of numerology indexes in operation. | pt_PT |
| dc.description.sponsorship | Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Fundação para a Ciência e Tecnologia; i-Five: Extensão do acesso de espectro dinâmico para rádio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Fundação para a ciência e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 project | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Sensors 21 (4): 1494 (2021) | pt_PT |
| dc.identifier.doi | 10.3390/s21041494 | pt_PT |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/15198 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | 5th-Generation mobile networks | pt_PT |
| dc.subject | Radio resource management | pt_PT |
| dc.subject | Mixed numerology | pt_PT |
| dc.title | Optimization of mixed numerology profiles for 5G wireless communication scenarios | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 4 | pt_PT |
| oaire.citation.startPage | 1494 | pt_PT |
| oaire.citation.title | Sensors | pt_PT |
| oaire.citation.volume | 21 | pt_PT |
| person.familyName | Correia | |
| person.familyName | Al-Tam | |
| person.givenName | Noélia | |
| person.givenName | Faroq | |
| person.identifier | R-000-DJV | |
| person.identifier | R-00G-A33 | |
| person.identifier.ciencia-id | DD19-1F35-B804 | |
| person.identifier.ciencia-id | 2515-AFE3-525F | |
| person.identifier.orcid | 0000-0001-7051-7193 | |
| person.identifier.orcid | 0000-0001-9718-2039 | |
| person.identifier.rid | M-3554-2013 | |
| person.identifier.rid | K-7031-2016 | |
| person.identifier.scopus-author-id | 8411596100 | |
| person.identifier.scopus-author-id | 55246034700 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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