Evolutionary Resource Allocation Optimization for Wireless Coexistence Management

The extent to which wireless technologies in license-free bands are used comes along with a decrease in performance due to mutual interference. This problem can be solved by implementation of an automated coexistence management that distributes the resources space, time and frequency. This can be done by means of an optimization algorithm that is able to find a global optimum in a large finite solution set. We implemented such an algorithm based upon evolutionary algorithms (EA). Utilizing this algorithm, we can repeatedly optimize the resource distribution. The wireless infrastructure is represented through a graph, where edges constitute the interferences.