Transmission power regulation in cooperative Cognitive Radio systems under uncertainties

An algorithm for power control in cooperative Cognitive Radio networks is proposed. The algorithm utilizes Medium Access Control layer mechanisms for message exchange between the nodes, in order to achieve interference mitigation. A fuzzy logic reasoner is used to cope for uncertainties that appear in real life systems, caused from parameters such as non-ideal message exchange or high user mobility. The proposed algorithm is applied in Filter Bank Multicarrier as well as Orthogonal Frequency Division Multiplexing systems under various scenarios and its performance is evaluated through extensive simulations. Experimental results indicate improved behavior compared to previous schemes, especially in the case of uncertainties that cause underestimation of the interference levels.