Contribui??es para o m?todo CPSC em redes de r?dios cognitivos

• Ano de defesa: 2016
• Autor(a) principal: Bomfin, Roberto C?sar Dias Vilela
• Orientador(a): Souza, Rausley Adriano Amaral de , Guimar?es, Dayan Adionel
• Banca de defesa: Souza, Rausley Adriano Amaral de , Brito, Jos? Marcos Camara , Leonardo, Elvio Jo?o
• 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: Sensoriamento espectral; r?dio cognitivo; m?todo CPSC - Cooperative Power Spectral Density Split Cancellation; probabilidade de falso alarme.
• Área do conhecimento CNPq: Engenharia - Telecomunica??es
• Link de acesso: http://tede.inatel.br:8080/tede/handle/tede/147

Recently,anewtechniqueforspectrumsensinginCognitiveRadio(CR)networkshas been proposed named Cooperative Power Spectral density split Cancellation (CPSC). Thistechniquehastheadvantagesofbeingrobustagainstnoiseuncertaintyandhaving low computational complexity. In this dissertation, a new sensing technique was proposed from a simple modi?cation on the CPSC method. Preliminary results showed that the new technique presents better performance than the original one. Also, two CumulativeDistributionFunctions(CDFs)oftwoimportantrandomvariablesforboth proposed and original methods were derived. For each random variable, two solutions with different approaches were presented. The results showed the level of accuracy of the developed CDFs, specially the one from the second approach, in which it is even moreaccuratethantheonepresentedinthepaperoftheoriginalCPSCmethod. Other contribution is the development of two approximate expressions for the Probability of False Alarm (PFA) for the new method. The results showed that one of the solutions happened to be accurate for high values of PFA, while the other for low levels of PFA. Theconclusionisthatthesecondone,whichisaccurateforlowvaluesofPFA,ismore appropriate to be used in practice as the spectrum sensing should work with low PFA. It is worth mentioning that the derived expressions are very useful in practice because theyallowonetoanalyzestatisticallythesystembehavioroftheoriginalandproposed methods.