Algorithm to optimize the operational spectrum effectiveness (OSE) of wireless communication systems

The advent of technically agile" communication devices, such as software-defined radio (SDR), presents the military services with both a regulatory challenge and a technological opportunity for spectrum sharing. For OSAM, we have proposed a method to transform the technical parameters of a system into a set of nonlinear utility functions, which measure operational spectrum effectiveness (OSE). This paper describes our investigations into appropriate algorithms for optimizing the derived OSE metrics. By adapting equilibrium concepts from microeconomic theory, we demonstrate that, with the spectrum management authority acting as "market arbiter", OSE optimization for individual entities can lead to efficient group-level spectrum utilization solutions. We further contend that the solutions thus obtained will be of at least equal quality to those derived by traditional methods, with the added advantage of near real-time adaptability.