Cyclostationary Feature Detection in CRN

Main Article Content

Kriti
Vikas Wasson

Abstract

The cognitive radio is in demand where the frequency band, the sharing of frequency is realized for the assignment to the primary system. After sensing the frequency band being assigned to the primary systems, the signals are transmitted by the secondary cognitive terminal avoiding any interference between the two. Though the signals made by man are non-stationary but some of them are Cyclostationary that is periodicity is exhibited in their statistics, which is either due to the modulation and decoding or can be intentionally produced so that estimation of channel and synchronization can be aided. Moreover, they are capable of differentiating noise from PU signals.  Hence for particular modulation type, such periodicity can be used to detect the random signals on the background of not only noise but signals with other modulation too.

Downloads

Download data is not yet available.

Article Details

Section

Articles

Author Biographies

Kriti, Chandigarh University

CSE, Chandigarh University, Chandigarh, India

Vikas Wasson, Chandigarh University

CSE, Chandigarh University, Chandigarh, India

How to Cite

[1]
“Cyclostationary Feature Detection in CRN”, IJCSR, vol. 1, no. 2, pp. 42–46, Jun. 2024, doi: 10.37391/.

References

Akyildiz, Ian F., Won-Yeol Lee, and Kaushik R. Chowdhury, "CRAHNs: Cognitive radio ad hoc networks", in Ad Hoc Networks 7, no. 5, pp. 810-836, 2009.

SHI Yanbin, TAN Zhongji, LI XuSHI, "The Application of the Cognitive Radio in the Aviation Communication Spectrum Management," in International Conference on Solid State Devices and Materials Science , pp. 1720 – 1725 ,2012.

Lundén, Jarmo, Visa Koivunen, Anu Huttunen, and H. Vincent Poor. "Spectrum sensing in cognitive radios based on multiple cyclic frequencies." in Cognitive Radio Oriented Wireless Networks and Communications, 2007.

Mishra, Shridhar Mubaraq, Danijela Cabric, Chen Chang, Daniel Willkomm, Barbara Van Schewick, Adam Wolisz, and Robert W. Brodersen, "A real time cognitive radio testbed for physical and link layer experiments." in New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. 2005 First IEEE International Symposium on, pp. 562-567. IEEE, 2005.

F. Koroupia, S. Talebi, H. Salehinejad, "Cognitive radio networks spectrum allocation: An ACS perspective,” in Scientia Iranica, vol. 19, no. 3, pp. 767–773, 2012.

Mahapatra, Rajarshi, and M. Krusheel,"Cyclostationary detection for cognitive radio with multiple receivers." in IEEE International Symposium IEEE, pp. 493-497, 2008.

Paul D. Sutton, Keith E. Nolan and Linda E. Doyle, “Cyclostationary Signatures in Practical Cognitive Radio Applications,” in Selected Areas in Communications, vol. 26, no. 1, pp. 13-24, JANUARY 2008.

Zhi Quan, Shuguang Cui, and Ali H. Sayed, "Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks", in IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, vol. 2, no 1, pp. 28-40, FEBRUARY 2008.

Derakhshani, Mahsa, Tho Le-Ngoc, and Masoumeh Nasiri-Kenari. "Efficient cooperative cyclostationary spectrum sensing in cognitive radios at low SNR regimes." Wireless Communications, IEEE Transactions on 10, no. 11,pp. 3754-3764, 2011.

Ruiliang Chen, Jung-Min Park, and Jeffrey H. Reed, "Defense against Primary User Emulation Attacks in Cognitive Radio Networks", in Selected Areas in Communications, IEEE Journal on 26, no. 1, pp. 25-37, 2008.

Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and ShantidevMohanty,"Next generation/ dynamic spectrum access/cognitive Radio Wireless Networks: A Survey," COMPUTER NETWORKS JOURNAL ELSEVIER," vol. 50, pp. 2127-2159, 2006.

Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen, " Implementation Issues in Spectrum Sensing for Cognitive Radios," in Signals, systems and computers, 2004. Conference record of the thirty-eighth Asilomar conference on, vol. 1, pp. 772-776. IEEE, 2004.

Kyouwoong Kim, Ihsan A. Akbar, Kyung K. Bae, Jung-sun Um∗, Chad M. Spooner, and Jeffrey H. Reed, "Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio," in New frontiers in dynamic spectrum access networks, 2007, pp. 212-215,2007.

Yonghong Zeng and Ying-Chang Liang ,"Spectrum Sensing Algorithms for Cognitive Radio Based on Statistical Covariances," in Vehicular Technology, IEEE Transactions on 58, pp. 1804-1815,no. 4, August 2009.

Yonghong Zeng and Ying-Chang Liang, " Eigen value based Spectrum Sensing Algorithms for Cognitive Radio," in Communications, IEEE Transactions on 57, pp. 1784-1793 ,November 23, 2009.

Jun Ma, Guodong Zhao and Ye (Geoffrey) Li, "Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks," in IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, pp. 4502-4507, vol. 7, no 11, November 2008.

P. Rostaing,T. Pitarque, E. Thierry, " PERFORMANCE ANALYSIS OF A STATISTICAL TEST FOR PRESENCE OF CYCLOSTATIONARITY IN A NOISY OBSERVATION," in In Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings. 1996 IEEE International Conference on, vol. 5, pp. 2932-2935, 1996.

Alex Chia-Chun Hsu, David S. L. Wei† and C.-C. Jay Kuo, “A Cognitive MAC Protocol Using Statistical Channel Allocation for Wireless Ad-hoc Networks," in Wireless Communications and Networking Conference, pp. 105-110. IEEE, 2007.

Wenjing Yue1, and Baoyu Zheng1," A Two-Stage Spectrum Sensing Technique in Cognitive Radio Systems Based on Combining Energy Detection and One-Order Cyclostationary Feature Detection," in Proceedings of the 2009 International Symposium on Web Information Systems and Applications pp. 327-330,May 22-24, 2009.

Juei-Chin Shen and Emad Alsusa, “'An Efficient Multiple Lags Selection Method for Cyclostationary Feature Based Spectrum-Sensing,” in IEEE SIGNAL PROCESSING LETTERS, vol. 20, no. 2 ,pp. 133-136, 2013.

Most read articles by the same author(s)