Enhancing Accuracy of Localization for Primary Users in Cognitive Radio Networks

Cognitive Radio (CR) technology constitutes a new paradigm where wireless devices can access the spectrum left unused by licensed or primary users in an opportunistic way. At the same time, these unlicensed secondary users (SUs) must reliably detect the presence of licensed primary transmission to avoid interfering with them. Information about primary users (PUs) locations are very important in Cognitive Radio Networks (CRNs) to improve spectrum hole sensing, intelligent location-aware routing as well as efficient and accurate detection. In this paper, we investigate localization techniques based on Received Signal Strength Indicator (RSSI) measurements to estimate the position of PUs. Compared to other proposed non-cooperative localization algorithms, the weighted centroid localization (WCL) scheme uses only the received signal strength information and this approach has been proposed here. In this paper, we present the theoretical framework of WCL algorithm. Then to improve localization accuracy, classical propagation model has been introduced with correction factor.