In this thesis, a novel method of modeling the characteristics of a storm and its effects on a millimeter wave band (70 - 90 GHz) mesh network is presented. A storm system is generated using synthetic data; the movement of the system through a network is simulated and attenuation on individual links is calculated using existing models relating rain rate and attenuation. Finally, the collective effect of attenuated links on network performance is analyzed. This model is particularly useful in implementing predictive routing algorithms, as knowledge of weather phenomenon is usually available several minutes in advance, which has the potential to improve or eliminate losses due to routing reconvergence.
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.