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http://dx.doi.org/10.7236/JIIBC.2013.13.5.55

Localization of primary user for cognitive radios based on estimation of path-loss exponent  

Anh, Hoang (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.5, 2013 , pp. 55-63 More about this Journal
Abstract
In cognitive radio networks, acquirement of position information of primary user is very important to secondary network since localization information of primary users can be utilized for improving the spectrum efficiency of secondary network and for avoiding harmful interference to primary users by using proper power control. Among various location methods, Received Signal Strength (RSS)-based localization has been widely used for distance measurements in the location detection process despite its inherent inaccuracy because it can be easily implemented without any additional hardware cost. In the RSS-based localization, the distance is measured by the received signal strength, and distance error can be caused by many factors such as fading, shadowing and obstacle between two nodes. In the paper, therefore we propose a localization scheme based on estimation of path-loss exponent to localize the location of primary users more accurately. Through simulations, it is shown that the proposed scheme can provide less localization error and interference rate to primary users than other schemes.
Keywords
Primary user localization; path loss exponent; triangular method; angle of arrival; received signal strength; cognitive radio;
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  • Reference
1 S. Haykin, "Cognitive radio: Brain empowered wireless communications," IEEE J. Sel. Areas Comm., vol. 23, no. 2, 2008
2 A. Uchiyama, S. Fujii, K. Maeda, T. Umedu, H. Yamaguchi, and T. Hig -ashino, "Ad-hoc localization in urban district," in Proc. IEEE INFOCOM, Anchorage, AK, May 2007, pp. 2306-2310
3 D. Gong, Z Ma. Y. Li, W. Ches, and Z. Cao, "High geometric range free localization in opportunistic cognitive sensor network," IEEE International Personal Commun., pp. 139-143, 2008
4 N. Bulusu, J. Heidemann, and D, Estrin, "GPS-less Low Cost Outdoor Localization for Very Small Devices," IEEE Personal Communications Magazine, vol. 7 no. 5, Oct., 2000
5 Tian He, Chengdu Huang, Brian M.Blum, John A.Stankovic, and Tarek Abdelzaher, "Range-Free Localization Schemes for Large Scale Sensor Networks," in Proceeding of ACM MOBICOM, 2003
6 Tapan K.Sarkar, Zhong Ji, Kyungjung Kim, Abdellatif Medourf, and Magdalena Salazar-Palma, "A Survey of Various Propagation Models for Mobile Communication," Antennas and Propagation Magazine, IEEE, vol. 45, pp. 51-82
7 T.X. Cong, E. Kim, I. Koo, "RSS Based Localization Scheme Using angle-referred calibration in WSN", Proc. ICIC, pp.1222-1233, 2008.
8 N. Tung and I. Koo, "Fuzzy-based Dynamic Packet Scheduling Algorithm for Multimedia Cognitive Radios," The Journal of The Institute of Internet, Broadcasting and Communication, Vol.12, No.3, pp.1-7, 2012. http://dx.doi.org/10.7236/JIWIT.2012.12.3.1
9 N. Radhi, K. Aziz, S. Hamad and H.S. Al-Raweshidy, "Estimate primary user localization using cognitive radio networks," International Conference on Innovations in Information Technology (2011) pp. 381-385
10 P. Prasain, Y. Kim, and D. Choi, "A Survey on MAC Protocols for Cognitive Radio Networks," Journal of Korean Institute of Information Technology, vol. 11, issue 8, pp. 121-133, 2013.
11 M.A. Abdulsattar and Zahir A. Hussein, "Energy detection technique for spectrum sensing in Cognitive radio: A survey," International Journal of Computer Networks & Communications, Vol.4, No.5, pp. 223-242
12 M.A. Hossain, Md. Hossain and Md. Ibrahim Abdullah, "Performance analysis of Cooperative Spectrum sensing in Cognitive Radio," International Journal of Innovation and Applied Studies Vol.1, No.2, pp. 236-245
13 T.X Cong and Insoo Koo, "An RSS-based Localization Scheme Using Direction Calibration and Reliability Factor Information for WSN," KSII Transactions on Internet and Information Systems Vol.4, No.1 (Feb. 2010).
14 C. Kocks, S. Wang, G.H. Bruck and P. Jung, "Maximum likelihood localization estimation based on received signal strength," International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2010.