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The efficient utilization of radio resources is a fundamental issue in Cognitive Radio (CR) networks. Thus, a novel cognitive Radio Resource Management (RRM) is proposed to improve the spectrum utilization efficiency. An optimization framework for RRM is developed that makes the following contributions: considering heterogeneous Primary UserS (PUs) with multiple features stored in a radio environment map database, allowing variable CR demands, assuring interference protection towards PUs. After showing that the optimal solution is computationally infeasible, a suboptimal solution is consequently proposed. Performance evaluation is conducted in terms of total achieved data rate and satisfaction of CR requirements.
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