Coexistence-Assured Automated Policy Generation for Dynamic Spectrum Access Management

Dynamic Spectrum Access (DSA) networks define digital policy to guide spectrum maneuver, particularly reuse, within an area of interest (AOI). Most existing interference assessment methodology is risk-averse, leading to inefficient spectrum usage over large areas when using sensed environmental data to determine maneuver decisions. In this paper, we present a dynamic workflow for identifying sources of interference and automatically synthesizing digital policy using a novel clustering algorithm which finds smaller regions in the AOI, within which DSA networks can reuse available resources based on an operator-specified interference risk level. We also demonstrate experimentally that our workflow can realize efficient, risk-informed frequency reuse in a dynamic electromagnetic environment.