CR–RSS location algorithm for primary user in cognitive radio

doi:10.1016/S1005-8885(14)60264-8

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (1): 22-25.doi: 10.1016/S1005-8885(14)60264-8

• Wireless • Previous Articles Next Articles

CR–RSS location algorithm for primary user in cognitive radio

1. College of Communication Eng., Jilin University, Changchun 130021, China 2. Jilin branch of China telecom co., LTD, Changchun 130033, China

Received:2013-08-13 Revised:2013-10-16 Online:2014-02-28 Published:2014-02-28
Contact: Deng-Zhao CHEN E-mail:dengzchen@163.com
Supported by:
This work was supported by the Hi-Tech Research and Development Program of China (2012AA011505).

Abstract

Abstract:

This article introduces the classic locating method based on the receiving signal strength in the cognitive radio and puts forward a cognitive radio-receiving signal strength (CR-RSS) localization algorithm which solves the problem of secondary users locating the primary user and succeeds in estimating the primary user’s location and transmission power. Through the establishment of cognitive radio network, evaluating the number of secondary users ,sampling and the environmental factors to the results in CR-RSS approach. The consequence shows that this approach can effectively locate the primary user and the technology of localization in cognitive radio can assist network optimization.

Key words:

cognitive radio, Location of the primary user, secondary user, RSS location algorithm

CLC Number:

TN92

YU Yin-hui, SUN Chen, QIN Nan-nan, GAO Ke, CHEN Deng-zhao. CR–RSS location algorithm for primary user in cognitive radio[J]. Acta Metallurgica Sinica(English letters), 2014, 21(1): 22-25.

References

1. Mitola J, Maguire G. Cognitive radio：Making software radios more personal. IEEE Personal Communications Magazine, 1999, 6(4): 13?18 2. Tian Z, Giannakis G B. Compressed sensing for wideband cognitive radios. Proceedings of the 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP’07): Vol 4, Apr 15?20, 2007, Honolulu, HI, USA, Piscataway, NJ, USA: IEEE, 2007: 1357?1360 3. Ivrigh S S, Sadough S M S, Ghorashi S A. A blind source separation-based positioning algorithm for cognitive radio systems. Research Journal of Applied Sciences, Engineering and Technology, 2012, 4(4): 299?305 4. Cabric D. Addressing feasibility of cognitive radios. IEEE Signal Processing Magazine, 2008, 25(6): 85?178 5. Celebi H, Arslan H. Cognitive positioning systems. IEEE Transactions on Wireless Communications, 2007, 6(12): 4475?4483 6. Arslan H. Cognitive radio, software defined radio, and adaptive wireless systems. Dordrecht, Netherlands: Spring, 2007 7. Morton N E, Collins A, Lawrence S, et al. Algorithms for a location database. Annals of Human Genetics, 1992, 56(3): 223?455 8. Agate C S, Iltis R A. Statistics of the RSS estimation algorithm for Gaussian measurement noise. IEEE Transactions on Signal Processing, 1999, 47(1): 22?54 9. Chen L W, Feng D Y. Discussion of algorithm for a radio location on the network. Journal of Sichuan University: Natural Science Edition, 2004, 41(6): 1163?1167 10. Leon O, Hernández-Serrano J, Soriano M. Securing cognitive radio networks. International Journal of Communication Systems, 2010, 23(5): 633?652 11. Radhi N, Aziz K, Hamad S, et al. Estimate primary user localization using cognitive radio networks. Proceedings of the 7th International Conference on Innovations in Information Technology (IIT’11), Apr 25?27, 2011, Abu Dhabi, United Arab Emirates. Piscataway, NJ, USA: IEEE, 2011: 381?385

Metrics

Comments

Copyright © 2020 The Journal of China Universities of Posts and Telecommunications
　 Adress: P.O. Box 231,Beijing University of Posts and Telecommunications,10 Xi Tucheng Road,Beijing 100876,P.R.China　Post Code: 100081
Tel：86-010-62282493　Fax： 86-010-62283461　E-mail: jchupt@bupt.edu.cn
Support by: Beijing Magtech Co.Ltd

[1]	ZHANG Shuang-lu, XU Wen-jun, LI Sheng-yu, LIN Jia-ru. Resource allocation for the cluster-based cooperative multicast in OFDM-based cognitive radio systems [J]. Acta Metallurgica Sinica(English letters), 2013, 20(4): 1-7.
[2]	WANG Shi-liang,SUN Song-lin,JING Xiao-jun,LU Yue-ming. Tree pruning for MIMO sphere detection based on MMSE detection [J]. Acta Metallurgica Sinica(English letters), 2012, 19(4): 64-72.
[3]	. Improved positioning algorithm based on two step least square in NLOS environments [J]. Acta Metallurgica Sinica(English letters), 2011, 18(5): 58-63.
[4]	HU Feng, JIN Li-biao, LI Jian-zeng. Orthogonal procrustes based semi-blind MIMO channel estimation under space-time block code transmissions [J]. Acta Metallurgica Sinica(English letters), 2011, 18(4): 20-24.
[5]	WU Zhuo, YANG Hong-bing . Power allocation of cooperative amplify-and-forward communications with multiple relays [J]. Acta Metallurgica Sinica(English letters), 2011, 18(4): 65-69.
[6]	XIAN Yong-ju, TIAN Feng-chun, XU Chang-biao, YANG Yue. Analysis of M-LWDF fairness and an enhanced M-LWDF packet scheduling mechanism [J]. Acta Metallurgica Sinica(English letters), 2011, 18(4): 82-88.
[7]	. Cooperative blind spectrum sensing using autocorrelation matrix [J]. Acta Metallurgica Sinica(English letters), 2011, 18(3): 47-53.

CR–RSS location algorithm for primary user in cognitive radio

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 7

Recommended Articles

Metrics

Comments