Cognitive engine design for cognitive radio

The work presented in this paper consists of designing a cognitive engine for a cognitive radio receiver. This engine must provide to the radio receiver the ability to be aware of its environment and to make decisions about actions of reconfiguration; these actions aim to adapt the receiver architecture to the state of the environment. In our design we develop a decision making method based on a statistical modeling of the environment. To show the decision performance of the method, we treat one example of a scenario of reconfiguration by applying the cognitive engine; it is to decide if there is a problem of a weak signal or not.