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Publicado em: 20/02/2014

Dissertação de Mestrado em Redes de Computadores

UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL
INSTITUTO DE INFORMÁTICA
PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃO
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DEFESA DE DISSERTAÇÃO DE MESTRADO

Aluno: Lucas Bondan
Orientador: Prof. Dr. Lisandro Zambenedetti Granville
Coorientador: Prof. Dr. Cristiano Bonato Both

Título: Kitsune: A Management System for Advanced Radio Networks based on Cognitive Functions
Linha de Pesquisa: Rede de Computadores

Data: 28 de fevereiro de 2014
Hora: 10h
Local: 43413 – Auditório Inferior

 

Banca Examinadora:

Prof. Dr. José Ferreira de Rezende (UFRJ)
Prof. Dr. Alberto Egon Schaeffer Filho (UFRGS)
Prof. Dr. Luciano Paschoal Gaspary (UFRGS)

 

 

Presidente da Banca: Prof. Dr. Lisandro Zambenedetti Granville

 

Resumo:

Considering the current underutilization of radio frequency spectrum for wireless communication, the Cognitive Radio is seen as a key concept to enable the improvement of the radio frequency spectrum utilization. The implementation of cognitive radio devices must be based on the four main cognitive functions: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. Through these functions, a cognitive radio device is able to search for vacant channels to opportunistically transmit in a cognitive radio network. However, cognitive radio networks should be managed, aiming to guaranty the proper operation of the cognitive radio devices, improving the performance of these devices. This management should improve the administrator knowledge about the cognitive radio network operation. Therefore, the configuration, monitoring and visualization of the cognitive functions are fundamental to the continuous learning process of the network administrator. In this paper we propose Kitsune, a management system based on a hierarchical model allowing to manage summarized information about cognitive functions in radio networks. Kitsune is designed to manage all four cognitive functions, enabling the network administrator to configure the cognitive radio devices, monitor the results of each cognitive function, and make important visualizations of these results. Moreover, a Kitsune prototype was developed and evaluated through an experimental IEEE 802.22 scenario. The result obtained show that Kitsune allows the administrator to achieve a better knowledge about the network and improve the average throughput for each channel.

 

Palavras-chave: Wireless Communication, Cognitive Radio Networks, Cognitive Functions, Network Management.