Sensoriamento espectral cooperativo baseado em r??dios cognitivos com m??ltiplas Antenas

• Ano de defesa: 2021
• Autor(a) principal: Alves, F??tima Sayury Queralt Queda
• Orientador(a): Souza, Rausley Adriano Amaral de
• Banca de defesa: Souza, Rausley Adriano Amaral de , Anjos, Andr?? Ant??nio dos , Mafra, Samuel Baraldi , Brito, Jos?? Marcos C??mara
• 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: CFCPSC; correla????o; GRLT; multi-antenas; r??dio cognitivo; ru??do din??mico; sensoriamento espectral
• Palavras-chave em Inglês: CFCPSC, correlation, GRLT, multi-antennas, cognitive radio, non-uniform dynamic noise, spectrum sensing
• Área do conhecimento CNPq: Engenharia - Telecomunica????es
• Link de acesso: https://tede.inatel.br:8080/tede/handle/tede/226

Multiantennas cognitive radios (CRs) have been used in spectral sensing to improve detection performance, but the majority of the works do not consider correlation, due to antenna proximity, in the received signals and antenna calibration errors. Therefore, this dissertation presents both performance analyzes using two blind statistical tests, the well-known GLRT (generalized likelihood ratio test) and the CFCPSC (Circular Folding Cooperative Power Spectrum Density Split Cancellation), in CCSS (centra lized cooperative spectrum sensing) with HD (hard decision) and SD (soft decision) assuming correlated received signals due to the proximity of the antennas and dynamic noise. It is also adopted frequency-selective fading according to the WRAN (wireless regional area network) standard IEEE 802.22 to give a more practical appeal to the analyses at hand. The scenarios in CCSS adopt different numbers of secondary users (SUs) and antennas per SU. At first, the performance analysis is carried out observing only the effect of the correlation of the received signal, considering the same noise power in each antenna of each SU. Then, in order to simulate a more complete scena rio, besides the correlation, different noise power in each antenna of each SU is also applied. The results showed great advantages in favor of CFCPSC.