Distributed processing in receivers based on tensor for cooperative communications systems

Detalhes bibliográficos
Autor(a) principal: Igor FlÃvio SimÃes de Sousa
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12792
Resumo: In this dissertation, we present a distributed data estimation and detection approach for the uplink of a network that uses CDMA at transmitters (users). The analyzed network can be represented by an undirected and connected graph, where the nodes use a distributed estimation algorithm based on consensus averaging to perform joint channel and symbol estimation using a receiver based on tensor signal processing. The centralized receiver, developed for a central base station, and the distributed receiver, developed for micro base stations, have their performances compared in a heterogeneous network. Then, two tensor-based receivers are proposed to be used in a relay-assisted network. In this case, the proposed receiver makes use of collaborative signal processing among relays to recover sources information before forwarding to the base station using a Decode-and-Forward protocol. The first receiver is based on the uncoded transmission of the tensor data reconstructed by the relays from the estimation of their factors matrix. The second one considers a tensor encoding of symbols estimated at the relays before transmission to the base station. The different proposed receivers are compared by means of computer simulations in terms of convergence and bit error rate.
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network_acronym_str UFC
network_name_str Biblioteca Digital de Teses e Dissertações da UFC
spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisDistributed processing in receivers based on tensor for cooperative communications systemsReceptores tensoriais com processamento distribuÃdo para sistemas de comunicaÃÃes cooperativos2014-08-01Andrà Lima FÃrrer de Almeida77024494387http://lattes.cnpq.br/1183830514857314Antonio MacÃlio Pereira de Lucena97722111815http://lattes.cnpq.br/7112277465715838TarcÃsio Ferreira Maciel54744598315http://buscatextual.cnpq.br/buscatextual/visualizacv.do?metodo=apresentar&id=K4760135U501829506382http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4469683Y6Igor FlÃvio SimÃes de SousaUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em Engenharia de TeleinformÃticaUFCBRConsenso mÃdioRepetidoresDecomposiÃÃo tensorialCDMAConsenso averageRelaysTensorial DecompositionCDMATELECOMUNICACOESIn this dissertation, we present a distributed data estimation and detection approach for the uplink of a network that uses CDMA at transmitters (users). The analyzed network can be represented by an undirected and connected graph, where the nodes use a distributed estimation algorithm based on consensus averaging to perform joint channel and symbol estimation using a receiver based on tensor signal processing. The centralized receiver, developed for a central base station, and the distributed receiver, developed for micro base stations, have their performances compared in a heterogeneous network. Then, two tensor-based receivers are proposed to be used in a relay-assisted network. In this case, the proposed receiver makes use of collaborative signal processing among relays to recover sources information before forwarding to the base station using a Decode-and-Forward protocol. The first receiver is based on the uncoded transmission of the tensor data reconstructed by the relays from the estimation of their factors matrix. The second one considers a tensor encoding of symbols estimated at the relays before transmission to the base station. The different proposed receivers are compared by means of computer simulations in terms of convergence and bit error rate.Nesta dissertaÃÃo, apresentamos uma abordagem distribuÃda para a estimaÃÃo e detecÃÃo de dados para uplink em uma rede que emprega CDMA nos transmissores (usuÃrios). A rede analisada pode ser representada por um grafo sem direÃÃo e conectado, em que os nÃs fazem uso de um algoritmo de estimaÃÃo distribuÃda baseado em consenso mÃdio para realizar a estimaÃÃo conjunta de sÃmbolos transmitidos e do canal, utilizando um receptor baseado em processamento tensorial. O receptor centralizado, operando em uma EstaÃÃo RÃdio Base central, e o receptor distribuÃdo, operando em Micro EstaÃÃes RÃdio Base, tÃm seus desempenhos comparados em uma rede heterogÃnea. Em seguida, considerando-se uma rede assistida por repetidores, dois receptores tensoriais sÃo propostos. Neste caso, fazemos uso de um processamento de sinais colaborativo entre os repetidores para a recuperaÃÃo da informaÃÃo transmitida pela fonte, antes de ser encaminhada para estaÃÃo rÃdio base fazendo uso do protocolo Decode-and-Forward. O primeiro receptor à baseado na transmissÃo nÃo codificada do tensor de dados reconstruÃdo pelos repetidores a partir da estimaÃÃo de suas matrizes fatores. O segundo considera uma codificaÃÃo tensorial dos sÃmbolos previamente estimados nos repetidores antes da transmissÃo para estaÃÃo rÃdio base. Os diferentes receptores propostos sÃo comparados atravÃs de simulaÃÃes computacionais em termos de convergÃncia e taxa de erro de bit.CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior Ericsson Brasilhttp://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12792application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:26:05Zmail@mail.com -
dc.title.en.fl_str_mv Distributed processing in receivers based on tensor for cooperative communications systems
dc.title.alternative.pt.fl_str_mv Receptores tensoriais com processamento distribuÃdo para sistemas de comunicaÃÃes cooperativos
title Distributed processing in receivers based on tensor for cooperative communications systems
spellingShingle Distributed processing in receivers based on tensor for cooperative communications systems
Igor FlÃvio SimÃes de Sousa
Consenso mÃdio
Repetidores
DecomposiÃÃo tensorial
CDMA
Consenso average
Relays
Tensorial Decomposition
CDMA
TELECOMUNICACOES
title_short Distributed processing in receivers based on tensor for cooperative communications systems
title_full Distributed processing in receivers based on tensor for cooperative communications systems
title_fullStr Distributed processing in receivers based on tensor for cooperative communications systems
title_full_unstemmed Distributed processing in receivers based on tensor for cooperative communications systems
title_sort Distributed processing in receivers based on tensor for cooperative communications systems
author Igor FlÃvio SimÃes de Sousa
author_facet Igor FlÃvio SimÃes de Sousa
author_role author
dc.contributor.advisor1.fl_str_mv Andrà Lima FÃrrer de Almeida
dc.contributor.advisor1ID.fl_str_mv 77024494387
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1183830514857314
dc.contributor.referee1.fl_str_mv Antonio MacÃlio Pereira de Lucena
dc.contributor.referee1ID.fl_str_mv 97722111815
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/7112277465715838
dc.contributor.referee2.fl_str_mv TarcÃsio Ferreira Maciel
dc.contributor.referee2ID.fl_str_mv 54744598315
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?metodo=apresentar&id=K4760135U5
dc.contributor.authorID.fl_str_mv 01829506382
dc.contributor.authorLattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4469683Y6
dc.contributor.author.fl_str_mv Igor FlÃvio SimÃes de Sousa
contributor_str_mv Andrà Lima FÃrrer de Almeida
Antonio MacÃlio Pereira de Lucena
TarcÃsio Ferreira Maciel
dc.subject.por.fl_str_mv Consenso mÃdio
Repetidores
DecomposiÃÃo tensorial
CDMA
topic Consenso mÃdio
Repetidores
DecomposiÃÃo tensorial
CDMA
Consenso average
Relays
Tensorial Decomposition
CDMA
TELECOMUNICACOES
dc.subject.eng.fl_str_mv Consenso average
Relays
Tensorial Decomposition
CDMA
dc.subject.cnpq.fl_str_mv TELECOMUNICACOES
dc.description.sponsorship.fl_txt_mv CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior
Ericsson Brasil
dc.description.abstract.por.fl_txt_mv In this dissertation, we present a distributed data estimation and detection approach for the uplink of a network that uses CDMA at transmitters (users). The analyzed network can be represented by an undirected and connected graph, where the nodes use a distributed estimation algorithm based on consensus averaging to perform joint channel and symbol estimation using a receiver based on tensor signal processing. The centralized receiver, developed for a central base station, and the distributed receiver, developed for micro base stations, have their performances compared in a heterogeneous network. Then, two tensor-based receivers are proposed to be used in a relay-assisted network. In this case, the proposed receiver makes use of collaborative signal processing among relays to recover sources information before forwarding to the base station using a Decode-and-Forward protocol. The first receiver is based on the uncoded transmission of the tensor data reconstructed by the relays from the estimation of their factors matrix. The second one considers a tensor encoding of symbols estimated at the relays before transmission to the base station. The different proposed receivers are compared by means of computer simulations in terms of convergence and bit error rate.
Nesta dissertaÃÃo, apresentamos uma abordagem distribuÃda para a estimaÃÃo e detecÃÃo de dados para uplink em uma rede que emprega CDMA nos transmissores (usuÃrios). A rede analisada pode ser representada por um grafo sem direÃÃo e conectado, em que os nÃs fazem uso de um algoritmo de estimaÃÃo distribuÃda baseado em consenso mÃdio para realizar a estimaÃÃo conjunta de sÃmbolos transmitidos e do canal, utilizando um receptor baseado em processamento tensorial. O receptor centralizado, operando em uma EstaÃÃo RÃdio Base central, e o receptor distribuÃdo, operando em Micro EstaÃÃes RÃdio Base, tÃm seus desempenhos comparados em uma rede heterogÃnea. Em seguida, considerando-se uma rede assistida por repetidores, dois receptores tensoriais sÃo propostos. Neste caso, fazemos uso de um processamento de sinais colaborativo entre os repetidores para a recuperaÃÃo da informaÃÃo transmitida pela fonte, antes de ser encaminhada para estaÃÃo rÃdio base fazendo uso do protocolo Decode-and-Forward. O primeiro receptor à baseado na transmissÃo nÃo codificada do tensor de dados reconstruÃdo pelos repetidores a partir da estimaÃÃo de suas matrizes fatores. O segundo considera uma codificaÃÃo tensorial dos sÃmbolos previamente estimados nos repetidores antes da transmissÃo para estaÃÃo rÃdio base. Os diferentes receptores propostos sÃo comparados atravÃs de simulaÃÃes computacionais em termos de convergÃncia e taxa de erro de bit.
description In this dissertation, we present a distributed data estimation and detection approach for the uplink of a network that uses CDMA at transmitters (users). The analyzed network can be represented by an undirected and connected graph, where the nodes use a distributed estimation algorithm based on consensus averaging to perform joint channel and symbol estimation using a receiver based on tensor signal processing. The centralized receiver, developed for a central base station, and the distributed receiver, developed for micro base stations, have their performances compared in a heterogeneous network. Then, two tensor-based receivers are proposed to be used in a relay-assisted network. In this case, the proposed receiver makes use of collaborative signal processing among relays to recover sources information before forwarding to the base station using a Decode-and-Forward protocol. The first receiver is based on the uncoded transmission of the tensor data reconstructed by the relays from the estimation of their factors matrix. The second one considers a tensor encoding of symbols estimated at the relays before transmission to the base station. The different proposed receivers are compared by means of computer simulations in terms of convergence and bit error rate.
publishDate 2014
dc.date.issued.fl_str_mv 2014-08-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
status_str publishedVersion
format masterThesis
dc.identifier.uri.fl_str_mv http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12792
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12792
dc.language.iso.fl_str_mv por
language por
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 Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em Engenharia de TeleinformÃtica
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
instname:Universidade Federal do Ceará
instacron:UFC
reponame_str Biblioteca Digital de Teses e Dissertações da UFC
collection Biblioteca Digital de Teses e Dissertações da UFC
instname_str Universidade Federal do Ceará
instacron_str UFC
institution UFC
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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