Dynamic frequency allocation for professional wireless microphone systems

In recent years, the increasing spectrum demand of wireless services had risen the need for a higher spectrum efficiency. In this context, the Cognitive Radio paradigm with opportunistic spectrum sharing has been proposed to overcome the limitations of a static spectrum allocation. A dynamic frequency assignment, however, is quite challenging especially for non-linear analog radio transmitters like professional wireless microphone systems with very high audio quality requirements. In this paper, we solve the future need of a dynamic resource allocation for such systems while taking into account internal and external constraints, like intermodulation products or emerging interference from other users. We formulate an optimization problem and propose a meta-heuristic based on Simulated Annealing that considers these constraints and minimizes received interference by our system. We evaluate the performance for a static and dynamic radio spectrum situation to demonstrate the strength of our approach.