Decision Making under Uncertainty for Dynamic Spectrum Access

ABSTRACT: SSC and VT develop algorithms and approaches to manage uncertainty in dynamic spectrum access (DSA) systems for small satellite constellations. We use various DSA rule sets such as sensing, database, and monitoring systems to reduce the uncertainty on a systems level. We investigate uncertainty modeling using Dempster-Schafer theory to build belief, disbelief and ignorance maps of spectrum usage. Finally, we use stochastic programming to perform optimization under uncertainty for real-time systems. We develop a DSA satellite scenario using a constellation of small satellites that are agile and cost-effective. BENEFIT: Dynamic spectrum access significantly increases the access to spectrum with harvesting and sharing through a flexible approach to spectrum access. SSC has focused on taking our initiatives developed for the DoD and transitioning them to both the DoD primes and to the commercial market. We are having success in both DoD and commercial sectors.