Energy-efficient transmission control in cognitive radio networks with channel state information

In this paper, we investigate the effect of channel estimation on the performance of a secondary network in a cognitive radio system. We focus on estimating the sensing-channel from the primary source to the secondary source which helps in determining the reliability of the sensing decision. The channel is estimated opportunistically when the secondary source senses the primary source to be active. We show the improvement in the performance of the secondary system compared to the system with no channel estimation. We also compare the performance to the system in which the channel is estimated accurately at every time slot. We consider the performance criterion to be the consumed energy by the secondary system constrained by a required average data transmission rate for the secondary system and an allowable average failure probability for the primary system.