Joint Localization of Primary and Secondary Users in Cognitive Radio Network
Date Issued
2016-09
Author(s)
Saeed, Nasir
Samin, Sana
Abstract
In this paper we implemented a local geometry
alignment algorithm for locating the primary user (PU) in
cognitive radio network. Based on the estimated distance between
PUs and Secondary users (SUs) for the neighbors within certain
communication range, the relative configuration of all users in
the network is obtained initially and is refined finally to get the
global position of every user in the network. The localization
performance of the proposed approach is compared to
multidimensional scaling and principal component analysis.
