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Delay based approach to support low priority users in preemptive wireless networks
(University of Missouri--Kansas City, 2012-01-27)
At times of serious disasters (natural or man-made), wireless networks are quickly congested due to the sheer volume and stress on network resources, and, preferential treatment is necessary for National Security/Emergency Preparedness (NS/EP) users...
Optimization of Handover, Survivability, Multi-Connectivity and Secure Slicing in 5G Cellular Networks using Matrix Exponential Models and Machine Learning
(2022)
This works proposes optimization of cellular handovers, cellular network survivability modeling, multi-connectivity and secure network slicing using matrix exponentials and machine learning techniques. We propose matrix ...
Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics
(2020)
Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ...
Finding and Mitigating Geographic Vulnerabilities in Mission Critical Multi-Layer Networks
(2016)
In Air Traffic Control (ATC), communications outages may lead to immediate loss
of communications or radar contact with aircraft. In the short term, there may be safety
related issues as important services including power ...
Developing and Utilizing Multivariate Stochastic Wireless Channel Models
(University of Missouri -- Kansas City, 2019)
Developing accurate channel models is paramount in designing efficient mobile communication systems. The focus of this dissertation is to understand the small-scale
fading characteristics, develop mathematical tools that ...