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.
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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Biswas, A., Reisenfeld, S., Hedley, M., Chen, Z., Cheng, P. (2015). Localization of Primary Users by Exploiting Distance Separation Between Secondary Users. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_37
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DOI: https://doi.org/10.1007/978-3-319-24540-9_37
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