Research Article
Localization of Primary Users by Exploiting Distance Separation Between Secondary Users
@INPROCEEDINGS{10.1007/978-3-319-24540-9_37, author={Audri Biswas and Sam Reisenfeld and Mark Hedley and Zhuo Chen and Peng Cheng}, title={Localization of Primary Users by Exploiting Distance Separation Between Secondary Users}, proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers}, proceedings_a={CROWNCOM}, year={2015}, month={10}, keywords={Cognitive Radio Radio Environment Map Compressive sensing Localization power Measurements}, doi={10.1007/978-3-319-24540-9_37} }- Audri Biswas
Sam Reisenfeld
Mark Hedley
Zhuo Chen
Peng Cheng
Year: 2015
Localization of Primary Users by Exploiting Distance Separation Between Secondary Users
CROWNCOM
Springer
DOI: 10.1007/978-3-319-24540-9_37
Abstract
Accurate localization of Primary Users (PUs) is an extremely useful procedure which can improve the performance of Cognitive Radio (CR) by more efficient dynamic allocation of channels and transmit powers for unlicensed users. In this paper, we analyze the performance of a Compressive Sensing (CS) method which simultaneously yields the PU transmitter locations and transmit powers for any channel in a Cognitive Radio Network (CRN). Additionally, we propose a novel approach of selectively eliminating Secondary User (SU) power observations from the set of SU receiving terminals such that pairs of the remaining SUs are separated by a minimum geographic distance. The modified algorithm demonstrates substantial performance improvements compared to random deployment of receiving terminals. Simulations were run for both the cases of uniform and Gaussian distributions for the SU random locations. The simulation results indicate that the new approach significantly reduced the number of received power measurements from SU terminals required to achieve a particular level of performance.
