Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): John C. McEachen. Includes bibliographical references (p. 51-53). Also available online.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007. / Chang, Gee-Kung, Committee Chair ; Zhou, G.Tong, Committee Member ; Copeland, John, Committee Member ; Riley, George, Committee Member ; Ingram, Mary Ann, Committee Member ; Ammar, Mostafa, Committee Member.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Bertrand Boussert, Committee Member ; Douglas B. Williams, Committee Member ; William T. Rhodes, Committee Member ; Yves Berthelot, Committee Member ; David S. Citrin, Committee Chair.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Buck, John, Committee Co-Chair ; Ferguson, Ian, Committee Chair ; Krishnamurthy,Vikram, Committee Member ; Chang, Gee-Kung, Committee Member ; Callen, W. Russell Jr., Committee Member ; Summers, Christopher, Committee Member.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007. / Dr. Henry L. Owen III, Committee Member ; Dr. David Keezer, Committee Member ; Dr. D. Scott Wills, Committee Chair.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 139-144).

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 106-113). Also available in electronic version.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Electrical Engineering, 2008. / Includes bibliographical references.

Neste trabalho, os efeitos das incertezas de estimativa de canal são considerados na otimização da relação sinal-ruído óptica (OSNR) em redes ópticas com multiplexação por divisão de comprimento de onda (WDM). A otimização da OSNR aumenta a vazão da rede e a eficiência energética, permitindo minimizar o número de retransmissões em camadas superiores. Os algorítmos de otimização de OSNR estão relacionados com a estimativa de canal óptico realizada pelas combinações de monitores de desempenho ópticos (OPM), modelos analíticos e simulações numéricas. Além disso, as incertezas de estimativa são introduzidas por vários fatores, como a disponibilidade de informações de monitoramento, defeitos nos monitores, precisão, a imperfeição do modelo da camada física e a dinâmica de alocação de canal. Neste estudo, foi utilizada a otimização da OSNR baseada em técnicas heuríticas por enxame de partículas. Os resultados numéricos demonstraram a relação entre as incertezas na estimativa de erro de canal, média normalizada do erro quadrático (NMSE) e penalidade de potência. A metodologia desenvolvida pode ser utilizada para determinar o nível máximo de incertezas aceitáveis na estimativa de erro de canal de acordo com a penalização de potência permitida na otimização OSNR. / In this work, we investigate the effects of estimation uncertainties in the optimization of the optical signal-to-noise ratio (OSNR) at the wavelength division multiplexing (WDM) optical networks. The OSNR optimization increases the network throughput and energy efficiency and it enables to minimize the number of retransmissions by higher layers. The OSNR optimization algorithms are related to the optical channel estimation performed by the combinations of optical performance monitors (OPM) measurements, analytical models and numerical simulations. Furthermore, the estimation uncertainties are introduced by several factors such as the availability of monitoring information, monitoring accuracy, imperfection of physical layer and dynamic of channel allocation. Our numerical results have demonstrated the relation between the uncertainties in the channel error estimation, normalized mean squared error (NMSE) and power penalty. The developed methodology can be utilized to determinate the level of acceptable uncertainties in the channel error estimation according the power penalty permitted in the OSNR optimization.