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A Cooperative Cognitive Radio Spectrum Sensing Based on Correlation Sum Method with Linear Equalization

DOI: 10.4236/cn.2023.151001, PP. 1-14

Keywords: Spectrum Sensing, Cognitive Radio, MIMO, Equalization

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Abstract:

For moving forward toward the next generations of information technology and wireless communication, it is becoming necessary to find new resources of spectrum to fulfill the requirements of next generations from higher data rates and more capacity. Increasing efficiency of the spectrum usage is an urgent need as an intrinsic result of the rapidly increasing number of wireless users and the conversion of voice-oriented applications to multimedia applications. Spectrum sensing techniques in cognitive radio technology work upon an optimal usage of the available spectrum determined by the Federal Communication Commission (FCC). In this paper, the performance of a cooperative cognitive radio spectrum sensing detection based on the correlation sum method by utilizing the multiuser multiple input multiple output (MU_MIMO) technique over fading and Additive White Gaussian Noise (AWGN) channel is analyzed. Equalization is used at the receiver to compensate the effect of fading channels and improve the reliability of spectrum sensing. The performance is compared with the performance of Energy detection technique. The simulation results show that the detection performance of cooperative correlation sum method is more efficient than that obtained for the cooperative Energy detection technique.

References

[1]  Sharmila, A. and Dananjayan, P. (2019) Spectrum Sharing Techniques in Cognitive Radio Networks—A Survey. 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, 29-30 March 2019, 1-4.
https://doi.org/10.1109/ICSCAN.2019.8878714
[2]  Yadav, P., Chatterjee, S. and Bhattacharya, P. (2012) A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks. International Journal of Next-Generation Networks (IJNGN), 4, 27-46.
https://doi.org/10.5121/ijngn.2012.4403
[3]  Ghasemi, A. and Sousa, E.S. (2008) Spectrum Sensing in Cognitive Radio Networks: Requirements, Challenges and Design Trade-Offs. IEEE Communications Magazine, 46, 32-39.
https://doi.org/10.1109/MCOM.2008.4481338
[4]  Zeng, Y. and Liang, Y.C. (2009) Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances. IEEE Transactions on Vehicular Technology, 58, 1804-1815.
https://doi.org/10.1109/TVT.2008.2005267
[5]  Sasipriya, S. and Vigneshram, R. (2016) An Overview of Cognitive Radio in 5G Wireless Communications. 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, 15-17 December 2016, 1-5.
https://doi.org/10.1109/ICCIC.2016.7919725
[6]  Salahdine, F., Ghazi, H.E., Kaabouch, N. and Fihri, W.F. (2015) Matched Filter Detection with Dynamic Threshold for Cognitive Radio Networks. 2015 International Conference on Wireless Networks and Mobile Communications (WINCOM), Marrakech, 20-23 October 2015, 1-6.
https://doi.org/10.1109/WINCOM.2015.7381345
[7]  Zeng, Y. and Liang, Y.-C. (2009) Eigenvalue-Based Spectrum Sensing Algorithms for Cognitive Radio. IEEE Transaction on Communications, 57, 1784-1793.
https://doi.org/10.1109/TCOMM.2009.06.070402
[8]  Kontorovich, V., Ramos-Alarcon, F., Filio, R.O. and Primak, S. (2010) Cyclostationary Spectrum Sensing for Cognitive Radio and Multiantenna Systems. 2010 International Conference on Wireless Communications & Signal Processing (WCSP), Suzhou, 21-23 October 2010, 1-6.
https://doi.org/10.1109/WCSP.2010.5633559
[9]  Wang, J. and Bi, G. (2010) Novel Autocorrelation-Based Spectrum Sensing Methods for Cognitive Radios. 2010 16th Asia-Pacific Conference on Communications (APCC), Auckland, 31 October-3 November 2010, 412-417.
https://doi.org/10.1109/APCC.2010.5679691
[10]  Derakhshani, M., Le-Ngoc, T. and Nasiri-Kenari, M. (2011) Efficient Cooperative Cyclostationary Spectrum Sensing in Cognitive Radios at Low SNR Regimes. IEEE Transaction on Wireless Communications, 10, 3754-3764.
https://doi.org/10.1109/TWC.2011.080611.101580
[11]  Liu, Y., Zhong, Z., Wang, G. and Hu, D. (2015) Cyclostationary Detection Based Spectrum Sensing for Cognitive Radio Networks. Journal of Communications, 10, 74-79.
https://doi.org/10.12720/jcm.10.1.74-79
[12]  Sherbin M., K. and Sindhu, V. (2019) Cyclostationary Feature Detection for Spectrum Sensing in Cognitive Radio Network. 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, 15-17 May 2019, 1250-1254.
https://doi.org/10.1109/ICCS45141.2019.9065769
[13]  Digham, F.F., Alouini, M.-S. and Simon, M.K. (2007) On the Energy Detection of Unknown Signals Over Fading Channels. IEEE Transactions on Communications, 55, 21-24.
https://doi.org/10.1109/TCOMM.2006.887483
[14]  Reisi, N., Ahmadian, M. and Salari, S. (2010) Performance Analysis of Energy Detection-Based Spectrum Sensing Over Fading Channels. 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), Chengdu, 23-25 September 2010, 1-4.
https://doi.org/10.1109/WICOM.2010.5600868
[15]  Ujjinimatad, R. and Patil, S.R. (2014) Signal Detection in Cognitive Radio Networks over AWGN, Nakagami-m and Nakagami-q Channels. 2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN), Vijayawada, 11-13 September 2014, 1-5.
https://doi.org/10.1109/WOCN.2014.6923092
[16]  Lebda, A., Gemeay, E., Khamis, S. and Khder, M. (2016) Cognitive Radio with Fast Sensing Technique Using Autocorrelation Approach. 2016 18th International Conference on Advanced Communication Technology (ICACT), PyeongChang, 31 January-3 February 2016, 10-14.
https://doi.org/10.1109/ICACT.2016.7423254
[17]  Mohammed, D.A. and Sadkhan, S.B. (2021) A Developed Sensing Approach in Cooperative Cognitive Radio Networks. 2021 2nd Information Technology to Enhance E-Learning and Other Application (IT-ELA), Baghdad, 28-29 December 2021, 6-11.
https://doi.org/10.1109/IT-ELA52201.2021.9773579
[18]  Ganesan, G. and Li, Y. (2007) Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks. IEEE Transaction on Wireless Communications, 6, 2204-2213.
https://doi.org/10.1109/TWC.2007.05775
[19]  Jalali, S. (2018) Cooperative Algorithms in Adaptive Signal Processing. 2018 IEEE Green Energy and Smart Systems Conference (IGESSC), Long Beach, 29-30 October 2018, 1-6.
https://doi.org/10.1109/IGESC.2018.8745524
[20]  Zhang, W., Mallik, R.K. and Letaief, K.B. (2009) Optimization of Cooperative Spectrum Sensing with Energy Detection in Cognitive Radio Networks. IEEE Transaction on Wireless Communications, 8, 5761-5766.
https://doi.org/10.1109/TWC.2009.12.081710
[21]  Das, A. and Das, N. (2019) Cooperative Cognitive Radio for Wireless Opportunistic Networks. 2019 11th International Conference on Communication Systems & Networks (COMSNETS), Bengaluru, 7-11 January 2019, 574-576.
https://doi.org/10.1109/COMSNETS.2019.8711292
[22]  Zheng, M., Chen, L., Liang, W., Yu, H. and Wu, J. (2017) Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks. IEEE Transaction on Green Communications and Networking, 1, 29-39.
https://doi.org/10.1109/TGCN.2016.2646819
[23]  Attapatu, S., Tellambura, C. and Jiang, H. (2011) Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks. IEEE Transaction on Wireless Communications, 10, 1232-1241.
https://doi.org/10.1109/TWC.2011.012411.100611
[24]  Sharma, R.K. and Wallace, J.W. (2009) Improved Spectrum Sensing by Utilizing Signal Autocorrelation. VTC Spring 2009—IEEE 69th Vehicular Technology Conference, Barcelona, 26-29 April 2009, 1-5.
https://doi.org/10.1109/VETECS.2009.5073595
[25]  Nguyen, D.N. and Krunz, M. (2012) Spectrum Management and Power Allocation in MIMO Cognitive Networks. 2012 Proceedings IEEE INFOCOM, Orlando, 25-30 March 2012, 2023-2031.
https://doi.org/10.1109/INFCOM.2012.6195583
[26]  Wu, Y., Xiao, C., Ding, Z., Gao, X. and Jin, S. (2018) A Survey on MIMO Transmission with Finite Input Signals: Technical Challenges, Advances, and Future Trends. Proceedings of the IEEE, 106, 1779-1833.
https://doi.org/10.1109/JPROC.2018.2848363
[27]  Hariharan, S. and Muthuchidambaranathan, P. (2014) Analysis of Linear Equalizers for Cooperative Multi-User MIMO Based Reporting System. World Academy of Science, Engineering and Technology, International Journal of Electronics and Communication Engineering, 8, 830-834.
[28]  Urriza, P., Rebeiz, E. and Cabric, D. (2013) Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test. IEEE Journal on Selected Areas in Communications, 31, 2185-2195.
https://doi.org/10.1109/JSAC.2013.131118

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