CogMAX- A cognitive radio approach for WiMAX systems

In this paper we propose a cognitive radio approach for WiMAX systems called CogMAX. The proposed system has all the capabilities of cognitive radio from monitoring to action decision and learning. We used case-based reasoning (CBR) and fuzzy logic (FL) reasoning as the core of the reasoning engine. The reasoning engine designed is used to determine the type of channel that the WiMAX system is operating in. This paper investigates the applicability of using FL and CBR as the core reasoning engine for a cognitive radio WiMAX system. Evaluation is done based on the time taken for the system to determine the type of channel and the error in the decision of the reasoning engine. Numerical results reveals that the use of a FL reasoning engine decreases the error in decision and in most cases faster in the decision making of the channel type.