Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos

Detalhes bibliográficos
Autor(a) principal: Moreira, Guilherme de Souza Lima
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da INATEL
Texto Completo: http://tede.inatel.br:8080/tede/handle/tede/145
Resumo: The recently proposed spectrum sensing using cooperative power spectral density cancellation (CPSC) has the promising advantages of being robust against noise uncertainty and having low computational complexity. However, to the best of the author?s knowledge, its performance over a channel that varies during the sensing period has not yet been taken into consideration. In this dissertation, the performance of the newly proposed CPSC method is investigated over both frequency-selective and fastfading Rayleigh channel models. Two approaches to calculate the decision variable in the CPSC algorithm were initially compared. Following that, the model is adjusted to vary its complex gain values over a single sensing interval. The fading model is and then also made frequency-selective by modeling additional paths at the receiver. Performance was measured by running simulations to find the Receiver Operating Characteristic (ROC) curves and the maximum achievable throughput curves of a cognitive network sensing with CPSC. The obtained results show that the probability of detection is improved as the number of collected samples or the number of cooperating cognitive users increase, when compared to the energy detection spectrum sensing. In the secondary user?s network, optimum sensing times were found in order to maximize the network?s throughput. Lastly, when the sensing time was time-variant, it was seen that performance was increased as the channel variability increased. In this last analysis, performance was also increased when operating through frequency-selective fading channels, though to a lesser extent. This behavior must be considered when designing a network that intends to use this technology.
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spelling Souza, Rausley Adriano Amaral de996.751.536-87http://lattes.cnpq.br/6238219709706103Souza, Rausley Adriano Amaral de996.751.536-87http://lattes.cnpq.br/6238219709706103Mej?a, Felipe Beltr?n235.092.198-05http://lattes.cnpq.br/8371603251897972Pimenta, Tales Cleber Pimentahttp://lattes.cnpq.br/3321577431881283081.930.846-32Moreira, Guilherme de Souza Lima2017-05-29T19:18:14Z2016-12-08Moreira, Guilherme de Souza Lima. Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos. 2016. [78]. disserta??o( Mestrado em Engenharia de Telecomunica??es) - Instituto Nacional de Telecomunica??es, [Santa Rita do Sapuca?] .http://tede.inatel.br:8080/tede/handle/tede/145The recently proposed spectrum sensing using cooperative power spectral density cancellation (CPSC) has the promising advantages of being robust against noise uncertainty and having low computational complexity. However, to the best of the author?s knowledge, its performance over a channel that varies during the sensing period has not yet been taken into consideration. In this dissertation, the performance of the newly proposed CPSC method is investigated over both frequency-selective and fastfading Rayleigh channel models. Two approaches to calculate the decision variable in the CPSC algorithm were initially compared. Following that, the model is adjusted to vary its complex gain values over a single sensing interval. The fading model is and then also made frequency-selective by modeling additional paths at the receiver. Performance was measured by running simulations to find the Receiver Operating Characteristic (ROC) curves and the maximum achievable throughput curves of a cognitive network sensing with CPSC. The obtained results show that the probability of detection is improved as the number of collected samples or the number of cooperating cognitive users increase, when compared to the energy detection spectrum sensing. In the secondary user?s network, optimum sensing times were found in order to maximize the network?s throughput. Lastly, when the sensing time was time-variant, it was seen that performance was increased as the channel variability increased. In this last analysis, performance was also increased when operating through frequency-selective fading channels, though to a lesser extent. This behavior must be considered when designing a network that intends to use this technology.O m?todo de sensoriamento espectral cooperativo CPSC (Cooperative Power Spectrum Density Split Cancellation), proposto recentemente, tem como vantagens promissoras o fato de ser robusto contra a incerteza do ru?do e ter baixa complexidade computacional. No entanto, at? onde ? conhecido pelo autor, seu desempenho sob canais que variam durante o intervalo de sensoriamento ainda n?o foi levado em considera??o. Nesta disserta??o, investiga-se o desempenho do m?todo CPSC sob canais do tipo Rayleigh r?pidos e seletivos em frequ?ncia. Inicialmente, duas abordagens para o c?lculo da vari?vel de decis?o do algoritmo CPSC foram comparadas. A seguir, o modelo ? ajustado para variar seus valores de ganho complexos durante um ?nico per?odo de sensoriamento. O modelo ? ent?o ajustado de forma que seja seletivo em frequ?ncia, modelando percursos adicionais no receptor. O desempenho foi medido executando simula??es para encontrar curvas ROC (Receiver Operating Characteristic) e curvas de vaz?o m?xima ating?vel de uma rede cognitiva sensoriando com CPSC. Os resultados obtidos mostraram que a probabilidade de detec??o ? melhorada conforme o n?mero de amostras adquiridas ou usu?rio cognitivos cooperando aumentou, se comparado ao m?todo de sensoriamento por detec??o de energia. No que diz respeito a rede secund?ria, encontraram-se valores ?timos para o tempo de sensoriamento de forma que a vaz?o desta rede seja maximizada. Por ?ltimo, quando houve varia??o temporal no canal durante o sensoriamento, verificou-se aumento de desempenho conforme a variabilidade do canal aumentou. Nesta ?ltima an?lise, o desempenho tamb?m aumentou quando operando sob canais seletivos em frequ?ncia, embora de forma menos significativa. Tal comportamento deve ser considerado no dimensionamento de redes que pretendam utilizar esta tecnologia.Submitted by Tede Dspace (tede@inatel.br) on 2017-05-29T19:18:14Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Disserta??o V.Final Guilherme de Souza Lima Moreira.pdf: 1298114 bytes, checksum: 5c9876c5a160adef179a05b04a4fe527 (MD5)Made available in DSpace on 2017-05-29T19:18:14Z (GMT). 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dc.title.por.fl_str_mv Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
title Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
spellingShingle Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
Moreira, Guilherme de Souza Lima
Sensoriamento espectral; r?dio cognitivo; m?todo CPSC; modelagem de canal; desvanecimento r?pido; desvanecimento seletivo; vaz?o m?xima ating?vel.
Engenharia - Telecomunica??es
title_short Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
title_full Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
title_fullStr Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
title_full_unstemmed Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
title_sort Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos
author Moreira, Guilherme de Souza Lima
author_facet Moreira, Guilherme de Souza Lima
author_role author
dc.contributor.advisor1.fl_str_mv Souza, Rausley Adriano Amaral de
dc.contributor.advisor1ID.fl_str_mv 996.751.536-87
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6238219709706103
dc.contributor.referee1.fl_str_mv Souza, Rausley Adriano Amaral de
dc.contributor.referee1ID.fl_str_mv 996.751.536-87
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/6238219709706103
dc.contributor.referee2.fl_str_mv Mej?a, Felipe Beltr?n
dc.contributor.referee2ID.fl_str_mv 235.092.198-05
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8371603251897972
dc.contributor.referee3.fl_str_mv Pimenta, Tales Cleber Pimenta
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/3321577431881283
dc.contributor.authorID.fl_str_mv 081.930.846-32
dc.contributor.author.fl_str_mv Moreira, Guilherme de Souza Lima
contributor_str_mv Souza, Rausley Adriano Amaral de
Souza, Rausley Adriano Amaral de
Mej?a, Felipe Beltr?n
Pimenta, Tales Cleber Pimenta
dc.subject.por.fl_str_mv Sensoriamento espectral; r?dio cognitivo; m?todo CPSC; modelagem de canal; desvanecimento r?pido; desvanecimento seletivo; vaz?o m?xima ating?vel.
topic Sensoriamento espectral; r?dio cognitivo; m?todo CPSC; modelagem de canal; desvanecimento r?pido; desvanecimento seletivo; vaz?o m?xima ating?vel.
Engenharia - Telecomunica??es
dc.subject.cnpq.fl_str_mv Engenharia - Telecomunica??es
description The recently proposed spectrum sensing using cooperative power spectral density cancellation (CPSC) has the promising advantages of being robust against noise uncertainty and having low computational complexity. However, to the best of the author?s knowledge, its performance over a channel that varies during the sensing period has not yet been taken into consideration. In this dissertation, the performance of the newly proposed CPSC method is investigated over both frequency-selective and fastfading Rayleigh channel models. Two approaches to calculate the decision variable in the CPSC algorithm were initially compared. Following that, the model is adjusted to vary its complex gain values over a single sensing interval. The fading model is and then also made frequency-selective by modeling additional paths at the receiver. Performance was measured by running simulations to find the Receiver Operating Characteristic (ROC) curves and the maximum achievable throughput curves of a cognitive network sensing with CPSC. The obtained results show that the probability of detection is improved as the number of collected samples or the number of cooperating cognitive users increase, when compared to the energy detection spectrum sensing. In the secondary user?s network, optimum sensing times were found in order to maximize the network?s throughput. Lastly, when the sensing time was time-variant, it was seen that performance was increased as the channel variability increased. In this last analysis, performance was also increased when operating through frequency-selective fading channels, though to a lesser extent. This behavior must be considered when designing a network that intends to use this technology.
publishDate 2016
dc.date.issued.fl_str_mv 2016-12-08
dc.date.accessioned.fl_str_mv 2017-05-29T19:18:14Z
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dc.identifier.citation.fl_str_mv Moreira, Guilherme de Souza Lima. Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos. 2016. [78]. disserta??o( Mestrado em Engenharia de Telecomunica??es) - Instituto Nacional de Telecomunica??es, [Santa Rita do Sapuca?] .
dc.identifier.uri.fl_str_mv http://tede.inatel.br:8080/tede/handle/tede/145
identifier_str_mv Moreira, Guilherme de Souza Lima. Desempenho do m?todo CPSC em redes de r?dios cognitivos sob canais r?pidos e seletivos. 2016. [78]. disserta??o( Mestrado em Engenharia de Telecomunica??es) - Instituto Nacional de Telecomunica??es, [Santa Rita do Sapuca?] .
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