Spectrum management and spectrum sharing have been at the core of my research for the past few years. This topic has caught my attention due to the interplay of technology, policy and economics required to create settings where spectrum can be successfully managed.
I find the study of electromagnetic spectrum fascinating, due to all the nuances, factors and intricacies we need to take into account to perform a comprehensive study of the systems that rely on this resource. Different authors have come up with myriad techniques to better portray and model spectrum. The method that I have chosen is computational modeling, and more specifically, agent-based modeling.
Due to the nature of spectrum and the technological changes we constantly experience, many of the suggested management approaches we are interested in have not been fully deployed in practice. In this way, for studying such settings, modeling sharing environments turns out to be an extremely helpful approach.
Modeling, in fact, has allowed me to explore different types of network configurations, spectrum markets, and interactions among resource users. The goal is to get a better sense of what may work or not, and perhaps more importantly, get a glimpse of what successful spectrum sharing approaches might look like.
Through my experiments with spectrum, I have been able to explore different modeling and data analysis tools. It is in this way that for my forthcoming research projects, I am interested in applying this knowledge for exploring different problems that lie at the intersection of technology, economics and policy. I find that it is only when we push these multidisciplinary boundaries that we can truly appreciate the intricacies of the complicated issues we encounter every single day in our lives.