Cooperative Localization Based Interference Avoidance in Cognitive Radio Networks

Abstract

Positions of primary and secondary users and the distance between them in a cognitive radio network play an important role in the interference caused by the secondary network to the users in the primary network. In this work, we exploit cooperative localization to estimate the distance between the nodes and then use transmission power control for interference avoidance. The distance between the primary and secondary users is estimated using a cooperative model. Next, the transmission power of the secondary user is adjusted so that it does not cause interference to the primary user. The proposed algorithm is verified by simulations. Results show that the primary user achieves considerable gain in the throughput as a result of increase in the signal to interference and noise ratio due to reduction in the interference caused by the secondary network.