Clustering-based assignment within CoMP systems
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/70593 |
Resumo: | More and more Coordinated Multi-Point (CoMP) systems are attracting interest as a means to improve the performance of conventional cellular networks, particularly thanks to the joint processing approach. However, the large amount of signaling and computer operations required deserves special attention regarding both backhaul and radio resources constraints. Partitioning the set of transmission points into clusters is likely to reduce this coordination cost, but the search for the best formations of clusters may lead to expressive further computational efforts. Herein we introduce a novel approach, the Clustering-based Assignment Algorithm (CbAA), to cluster dynamically the transmission points on the downlink in order to transmit coherently to multiple users. When compared to static clustering, the proposed CbAA provided expressive gains in terms of system spectral efficiency. Compared to state-of-the-art dynamic clustering approaches, CbAA can waive the exhaustive search over all possible formations as well as the repetitive precoder calculations during the clustering procedure. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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Clustering-based assignment within CoMP systemsClusteringCoordinated multipoint systemSchedulingMore and more Coordinated Multi-Point (CoMP) systems are attracting interest as a means to improve the performance of conventional cellular networks, particularly thanks to the joint processing approach. However, the large amount of signaling and computer operations required deserves special attention regarding both backhaul and radio resources constraints. Partitioning the set of transmission points into clusters is likely to reduce this coordination cost, but the search for the best formations of clusters may lead to expressive further computational efforts. Herein we introduce a novel approach, the Clustering-based Assignment Algorithm (CbAA), to cluster dynamically the transmission points on the downlink in order to transmit coherently to multiple users. When compared to static clustering, the proposed CbAA provided expressive gains in terms of system spectral efficiency. Compared to state-of-the-art dynamic clustering approaches, CbAA can waive the exhaustive search over all possible formations as well as the repetitive precoder calculations during the clustering procedure.International Symposium on Personal, Indoor and Mobile Radio Communications2023-02-08T17:01:49Z2023-02-08T17:01:49Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCAVALCANTI, F. R. P. et al. Clustering-based assignment within CoMP systems. In: INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 24., 2013, Londres. Anais... Londres: IEEE, 2013. p. 2270-2274.http://www.repositorio.ufc.br/handle/riufc/70593Stancanelli, Elvis Miguel GaleasSilva, Yuri Carvalho BarbosaMaciel, Tarcísio FerreiraFreitas Júnior, Walter da CruzCavalcanti, Francisco Rodrigo Portoengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-03-30T12:45:33Zoai:repositorio.ufc.br:riufc/70593Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:17:39.898122Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Clustering-based assignment within CoMP systems |
title |
Clustering-based assignment within CoMP systems |
spellingShingle |
Clustering-based assignment within CoMP systems Stancanelli, Elvis Miguel Galeas Clustering Coordinated multipoint system Scheduling |
title_short |
Clustering-based assignment within CoMP systems |
title_full |
Clustering-based assignment within CoMP systems |
title_fullStr |
Clustering-based assignment within CoMP systems |
title_full_unstemmed |
Clustering-based assignment within CoMP systems |
title_sort |
Clustering-based assignment within CoMP systems |
author |
Stancanelli, Elvis Miguel Galeas |
author_facet |
Stancanelli, Elvis Miguel Galeas Silva, Yuri Carvalho Barbosa Maciel, Tarcísio Ferreira Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto |
author_role |
author |
author2 |
Silva, Yuri Carvalho Barbosa Maciel, Tarcísio Ferreira Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Stancanelli, Elvis Miguel Galeas Silva, Yuri Carvalho Barbosa Maciel, Tarcísio Ferreira Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto |
dc.subject.por.fl_str_mv |
Clustering Coordinated multipoint system Scheduling |
topic |
Clustering Coordinated multipoint system Scheduling |
description |
More and more Coordinated Multi-Point (CoMP) systems are attracting interest as a means to improve the performance of conventional cellular networks, particularly thanks to the joint processing approach. However, the large amount of signaling and computer operations required deserves special attention regarding both backhaul and radio resources constraints. Partitioning the set of transmission points into clusters is likely to reduce this coordination cost, but the search for the best formations of clusters may lead to expressive further computational efforts. Herein we introduce a novel approach, the Clustering-based Assignment Algorithm (CbAA), to cluster dynamically the transmission points on the downlink in order to transmit coherently to multiple users. When compared to static clustering, the proposed CbAA provided expressive gains in terms of system spectral efficiency. Compared to state-of-the-art dynamic clustering approaches, CbAA can waive the exhaustive search over all possible formations as well as the repetitive precoder calculations during the clustering procedure. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 2023-02-08T17:01:49Z 2023-02-08T17:01:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
CAVALCANTI, F. R. P. et al. Clustering-based assignment within CoMP systems. In: INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 24., 2013, Londres. Anais... Londres: IEEE, 2013. p. 2270-2274. http://www.repositorio.ufc.br/handle/riufc/70593 |
identifier_str_mv |
CAVALCANTI, F. R. P. et al. Clustering-based assignment within CoMP systems. In: INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 24., 2013, Londres. Anais... Londres: IEEE, 2013. p. 2270-2274. |
url |
http://www.repositorio.ufc.br/handle/riufc/70593 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
International Symposium on Personal, Indoor and Mobile Radio Communications |
publisher.none.fl_str_mv |
International Symposium on Personal, Indoor and Mobile Radio Communications |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
_version_ |
1813028742071582720 |