Efficient receivers for cellular massive mimo systems and random access in cell-free networks.
Ano de defesa: | 2021 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Biblioteca Digitais de Teses e Dissertações da USP
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Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://www.teses.usp.br/teses/disponiveis/3/3142/tde-17092021-112812/ |
Resumo: | This dissertation addresses two problems of interest to enable future wireless networks of fifth and sixth generation (5G and 6G, respectively): the design of efficient receivers and massive random access. The first problem is discussed in the context of cellular networks in which a massive number of antennas, hundreds to thousands, at the base station (BS) serves a large number of users, tens to hundreds, constituting a system of massive multiple-inputs multipleoutputs (M-MIMO). To make these systems more scalable, we consider the design of iterative receivers based on the Kaczmarz algorithm. We study acceleration techniques to increase the efficiency of such receivers, as well as robustness to the different effects of wireless channels. In addition to classical effects of pathloss and of spatial correlation, the considered channel effects cover the regime of extra-large-scale MIMO systems (XL-MIMO), with the emergence of the so-called spatial non-stationarities. Receiver designs also consider centralized and decentralized baseband hardware architectures. The results show that our receiver designs based on accelerated iterative methods allow better control of the trade-off between performance and complexity under different wireless channel conditions. The second problem is related to the study of how massive random access can be solved in cell-free M-MIMO systems. We adapt the strongest user collision resolution (SUCRe) protocol for the cell-free M-MIMO system, which was initially proposed for cellular M-MIMO systems. This study allows us to better understand how the fact that antennas are geographically distributed can further help support a large number of simultaneous accesses in future wireless networks conceptually centered on mobile users. |
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Biblioteca Digital de Teses e Dissertações da USP |
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Efficient receivers for cellular massive mimo systems and random access in cell-free networks.Receptores eficientes para sistemas celulares MIMO massivo e acesso aleatório em redes livre-de-células.5G6GCell-free networksCellular networksExtra-large scale massive MIMOKaczmarzMassive MIMORandom accessReceiver designSUCReTelecomunicaçõesThis dissertation addresses two problems of interest to enable future wireless networks of fifth and sixth generation (5G and 6G, respectively): the design of efficient receivers and massive random access. The first problem is discussed in the context of cellular networks in which a massive number of antennas, hundreds to thousands, at the base station (BS) serves a large number of users, tens to hundreds, constituting a system of massive multiple-inputs multipleoutputs (M-MIMO). To make these systems more scalable, we consider the design of iterative receivers based on the Kaczmarz algorithm. We study acceleration techniques to increase the efficiency of such receivers, as well as robustness to the different effects of wireless channels. In addition to classical effects of pathloss and of spatial correlation, the considered channel effects cover the regime of extra-large-scale MIMO systems (XL-MIMO), with the emergence of the so-called spatial non-stationarities. Receiver designs also consider centralized and decentralized baseband hardware architectures. The results show that our receiver designs based on accelerated iterative methods allow better control of the trade-off between performance and complexity under different wireless channel conditions. The second problem is related to the study of how massive random access can be solved in cell-free M-MIMO systems. We adapt the strongest user collision resolution (SUCRe) protocol for the cell-free M-MIMO system, which was initially proposed for cellular M-MIMO systems. This study allows us to better understand how the fact that antennas are geographically distributed can further help support a large number of simultaneous accesses in future wireless networks conceptually centered on mobile users.Esta dissertação aborda dois problemas de interesse para viabilizar as futuras redes sem fio de quinta e sexta geração (5G e 6G, respectivamente): o projeto de receptores eficientes e o acesso aleatório massivo. O primeiro problema ´e discutido no contexto de redes celulares em que um número massivo de antenas, centenas a milhares, na estação rádio-base (BS) serve um grande número de usuários, dezenas a centenas, constituindo um sistema de múltiplas entradas e múltiplas-saídas massivo (M-MIMO). Para tornar esses sistemas mais escaláveis, adotamos o projeto de receptores iterativos baseados no algoritmo de Kaczmarz. Estudamos técnicas de aceleração para aumentar a eficiência de tais receptores, bem como sua robustez aos diferentes efeitos do canal sem fio. Além de efeitos clássicos de atenuação de potência e da correlação espacial, os efeitos do canal considerados abrangem o regime de sistemas MIMO de escala extra-grande (XL-MIMO), com o surgimento das chamadas não-estacionaridades espaciais. Os projetos de receptores consideram tanto arquiteturas de hardware de banda base centralizadas quanto arquiteturas descentralizadas. Os resultados mostram que nossos projetos de receptores baseados em métodos iterativos acelerados permitem um melhor controle do compromisso desempenho-complexidade sob diferentes condições do canal sem fio. O segundo problema está relacionado ao estudo de como o acesso aleatório massivo pode ser resolvido em sistemas M-MIMO livres de células. Adaptamos ao sistema M-MIMO livre-de-células o protocolo denominado resolução de colisões baseado no usuário mais forte (SUCRe), proposto inicialmente para sistemas M-MIMO celulares. Este estudo permite-nos compreender melhor como o fato das antenas estarem distribuídas geograficamente pode ajudar a suportar um maior número de acessos simultâneos em futuras redes sem fios conceitualmente centradas no usuário móvel.Biblioteca Digitais de Teses e Dissertações da USPAbrão, TaufikPopovski, PetarRodrigues, Victor Croisfelt2021-08-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/3/3142/tde-17092021-112812/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2021-09-20T13:31:06Zoai:teses.usp.br:tde-17092021-112812Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212021-09-20T13:31:06Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. Receptores eficientes para sistemas celulares MIMO massivo e acesso aleatório em redes livre-de-células. |
title |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
spellingShingle |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. Rodrigues, Victor Croisfelt 5G 6G Cell-free networks Cellular networks Extra-large scale massive MIMO Kaczmarz Massive MIMO Random access Receiver design SUCRe Telecomunicações |
title_short |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
title_full |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
title_fullStr |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
title_full_unstemmed |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
title_sort |
Efficient receivers for cellular massive mimo systems and random access in cell-free networks. |
author |
Rodrigues, Victor Croisfelt |
author_facet |
Rodrigues, Victor Croisfelt |
author_role |
author |
dc.contributor.none.fl_str_mv |
Abrão, Taufik Popovski, Petar |
dc.contributor.author.fl_str_mv |
Rodrigues, Victor Croisfelt |
dc.subject.por.fl_str_mv |
5G 6G Cell-free networks Cellular networks Extra-large scale massive MIMO Kaczmarz Massive MIMO Random access Receiver design SUCRe Telecomunicações |
topic |
5G 6G Cell-free networks Cellular networks Extra-large scale massive MIMO Kaczmarz Massive MIMO Random access Receiver design SUCRe Telecomunicações |
description |
This dissertation addresses two problems of interest to enable future wireless networks of fifth and sixth generation (5G and 6G, respectively): the design of efficient receivers and massive random access. The first problem is discussed in the context of cellular networks in which a massive number of antennas, hundreds to thousands, at the base station (BS) serves a large number of users, tens to hundreds, constituting a system of massive multiple-inputs multipleoutputs (M-MIMO). To make these systems more scalable, we consider the design of iterative receivers based on the Kaczmarz algorithm. We study acceleration techniques to increase the efficiency of such receivers, as well as robustness to the different effects of wireless channels. In addition to classical effects of pathloss and of spatial correlation, the considered channel effects cover the regime of extra-large-scale MIMO systems (XL-MIMO), with the emergence of the so-called spatial non-stationarities. Receiver designs also consider centralized and decentralized baseband hardware architectures. The results show that our receiver designs based on accelerated iterative methods allow better control of the trade-off between performance and complexity under different wireless channel conditions. The second problem is related to the study of how massive random access can be solved in cell-free M-MIMO systems. We adapt the strongest user collision resolution (SUCRe) protocol for the cell-free M-MIMO system, which was initially proposed for cellular M-MIMO systems. This study allows us to better understand how the fact that antennas are geographically distributed can further help support a large number of simultaneous accesses in future wireless networks conceptually centered on mobile users. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-06 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.teses.usp.br/teses/disponiveis/3/3142/tde-17092021-112812/ |
url |
https://www.teses.usp.br/teses/disponiveis/3/3142/tde-17092021-112812/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
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1809091854179762176 |