Average delay in cognitive radio networks with imperfect sensing using slotted aloha protocol

This paper introduces an extension of a methodology for calculating the average delay in a cognitive radio network using the slotted ALOHA technique for medium access. This extension includes two new aspects: imperfect sensing and different transmission power levels in the secondary stations regarding the channel state decision. The performance of the network is evaluated and numerical results are compared with the original model. The new model considered here becomes the model more realistic.