Estimate primary user localization using cognitive radio networks

Abstract

The location awareness of the primary user is one of the essential features of cognitive radios. The Location information of the primary user in cognitive radio can be used to assist the communication among secondary users outside the transmission coverage area of primary users or to track the primary users. A cognitive radio network based localization scheme is considered in this paper uses received signal strength (RSS) method to estimate the position and effective isotropic radiated powers of the transmitter source emitting this signal. In our investigation the simulation result for RSS-based localization show the impacts of number of sampling, nodes, sigma variable in the shadowing channel model on mean square error for position estimation and average power estimation error were illustrated.