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Hybrid Model Design and Transmission Rate Optimize with Interference Temperature Constraints in Cognitive Radio Sensor Networks

Properly modeling the aggregated interferences from the entire cognitive radio sensor networks is necessary to effectively protect these incumbent users. In this paper, we present a prominent interference avoiding mechanism based on a mathematical hybrid modeling for the cumulative interference to the primary network as well as the probe link from secondary networks. For the purpose of the paper, we consider the interference temperature constraints and secondary network's Quality-of-Service requirements, as well as obtain the optimal transmitter power for maximizing the system transmission rate.