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Today's framework for radio spectrum regulation and spectrum usage is undergoing fundamental changes. In the face of scarce radio resources, regulators, industry, and the research community are initiating promising approaches towards a more flexible spectrum usage, as for example cognitive radios for dynamic spectrum assignment. In this work an intelligent algorithms is presented which supports operation of IEEE 802.16 radio systems in a commonly used spectrum in a flexible manner. The concept namely Spectrum Load Smoothing (SLS) is a method for service- and technology-independent assignment of spectrum ranges under consideration of Quality of Service support. The concepts is based on the possibility to predict spectrum usage based on observations of past spectrum usage. We apply the SLS to a coordinated dynamic radio resource management problem.