An?lise de desempenho de redes de r?dios cognitivos com sensoriamento espectral perfeito e imperfeito

• Ano de defesa: 2019
• Autor(a) principal: Pereira, Gabriel Bearare
• Orientador(a): Brito, Jos? Marcos Camara
• Banca de defesa: Brito, Jos? Marcos Camara , Mafra, Samuel Baraldi , Cardieri, Paulo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Instituto Nacional de Telecomunica??es
• Programa de Pós-Graduação: Mestrado em Engenharia de Telecomunica??es
• Departamento: Instituto Nacional de Telecomunica??es
• País: Brasil
• Palavras-chave em Português: Cadeia de Markov; r?dio cognitivo; sensoriamento imperfeito; an?lise de desempenho
• Palavras-chave em Inglês: Markov chain; cognitive radios; imperfect sensing; performance analysis
• Área do conhecimento CNPq: Engenharia - Telecomunica??es
• Link de acesso: http://tede.inatel.br:8080/tede/handle/tede/181

The demand for even higher transmission rates coupled with the current scarcity of licensed spectrum in wireless networks underscores the need to optimize spectrum usage in order to support the growing number of connected devices in the networks. The Cognitive Radio networks, object of study in this dissertation, have been studied with the objective of obtaining a better occupation of the spectrum, allowing higher transmission rates to be achieved and to guarantee higher Quality of Service (QoS). Analyzing the performance of Cognitive Radio networks is of paramount importance to ensure the feasibility of implementing such technology. This work analyzes the performance of Cognitive Radio networks for several scenarios, using the concept of queues with priority in the analysis of a Cognitive Radios network where spectral sensing errors are not considered and a continuous- time Markov chain proposed to model the dynamics of a Cognitive Radios network where possible spectral sensing errors occur. Three performance parameters were considered in the analyzes, presenting numerical results, as well as discussions about the results obtained, throughout the dissertation. In addition, the performance parameters are compared between systems where spectral sensing is perfect and imperfect, as well as for some of the possible variations in the parameters of each system.