Improved Cyclostationary Spectrum Sensing Scheme for Primary Users Randomly Arriving
Ma Bin Fang Yuan Xie Xian-zhong
(Institute of Broadband Access Networks, Chongqing University of Posts & Telecommunications, Chongqing 400065, China)
(Chongqing Key Laboratory of Computer Network and Communication Technology,Chongqing University of Posts & Telecommunications, Chongqing 400065, China)
In the Cognitive Radio (CR) networks, the detection performance of Primary User’s (PU) randomly arriving during the sensing period is poor. So, an improved spectrum sensing method exploiting the cyclostationary feature is proposed, which adds the second half sampling values of sampling signal to the first half. The method improves the detection performance by enhancing the test statistic even though the sensing time is not added. Then, detection probability, false probability and throughput are analysed theoretically. Simulation results show that the proposed method performs better on detection performance and throughput than the conventional spectrum detection and the conventional cyclostationary spectrum sensing.
Ma Bin, Xie Xian-zhong, and Liao Xiao-feng. An efficient proactive spectrum handover mechanism in cognitive radio networks[J]. Wireless Personal Communications, 2014, 79(3): 1679-1701.
[2]
Wilcox D, Tsakalaki E, Kortun A, et al.. On spatial domain cognitive radio using single radio parasitic antenna arrays[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(3): 571-580.
[3]
Yucek T, Huseyin, and Arslan. A survey of spectrum sensing algorithms for cognitive radio applications[J]. IEEE Communications Surveys & Tutorials, 2009, 11(1): 116-130.
[4]
Wang T, Chen Y, Zhao B, et al.. Analysis of effect of primary user traffic on spectrum sensing performance [C]. Proceedings of the IEEE China fourth international conference on communications and networking (ChinaCOM2009), Xi,an, China, 2009: 1-5.
[5]
Mohapatra S G, Mohapatra A G, and Lenka S K. Performance evaluation of cyclostationary based spectrum sensing in cognitive radio network[C]. Proceedings of the IEEE 2013 International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), Kottayam, India, 2013: 90-97.
[6]
Beaulieu N C and Chen Y. Improved energy detectors for cognitive radios with randomly arriving or departing primary users[J]. IEEE Signal Processing Letters, 2010, 17(10): 867-870.
Xie Xian-zhong, Hu Xiao-feng, Ma Bin, et al.. A new weight-p energy detector for primary user status changes and low SNR environments[J]. SEIENCE CHINA Information Sciences, 2014, 44(4): 537-550.
[8]
Xie Xian-zhong, Hu Xiao-feng, Ma Bin, et al.. Improved energy detector with weights for primary user status changes in cognitive radio networks[J]. International Journal of Distributed Sensor Networks, 2014, DOI: 10.1155/2014 /836793.
[9]
Shim J, Lee J, Lee Y, et al.. A cyclostationary spectrum sensing scheme for high traffic environments[C]. Proceedings of the 2013 3rd International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), Atlantic City, NJ, USA, 2013: 1-4.
[10]
Gardner W A. Introduction To Random Processes[M]. USA: McGraw- Hill, 1986: 323-346.
[11]
Gardner W A and Spooner M S. Signal interception: performance advantages of cyclic-feature detectors[J]. IEEE Transactions on Communications, 1992, 40(1): 149-159.
[12]
Liang T, Chen Y, Hines E L, et al.. Effect of primary user traffic on sensing-throughput tradeoff for cognitive radios [J]. IEEE Transactions on Wireless Communications, 2011, 10(4): 1063-1068.
[13]
Masoumeh D, Masoumeh N K, and Tho L N. Cooperative cyclostationary spectrum sensing in cognitive radios at low SNR regimes[C]. Proceedings of the IEEEInternational Conference on Communications (ICC), Cape Town, Republic of South Africa, 2010: 1-5.
[14]
Tandra R and Sahai A. SNR walls for signal detection[J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1): 4-17.
[15]
Chen Y F. Improved energy detector for random signals in Gaussian noise[J]. IEEE Transactions on Wireless Communications, 2010, 9(2): 558-563.
