DOI QR코드

DOI QR Code

Advanced Energy Detector with Correlated Multiple Antennas

  • Kim, Sungtae (Communication System Examination Division, Korean Intellectual Property Office) ;
  • Lim, Sungmook (Department of IT-Energy Convergence (BK21 FOUR) and Department of Electronics Engineering, Korea National University of Transportation)
  • Received : 2021.08.24
  • Accepted : 2021.10.25
  • Published : 2021.12.31

Abstract

In cognitive radio networks where unlicensed secondary users opportunistically access to licensed spectrum unused by licensed primary users, spectrum sensing is one of the key issues in order to effectively use the frequency resource. For enhancing the sensing performance in energy detection-based spectrum sensing, spatial diversity based on multiple antennas is utilized. However, the sensing performance can be degraded when antennas are spatially correlated, resulting in inducing the harmful interference to primary users. To overcome this problem, in this paper, an advanced energy detector is proposed. In the proposed sensing method, a weight matrix based on the eigenvalues of the spatial channels without any prior information on the primary signals is defined and utilized. In numerical simulations, it is shown that the proposed detector outperforms the conventional detector with regard to false-alarm and detection probabilities when antenna are spatially correlated.

Keywords

References

  1. A. Ali and W. Hamouda, "Advances on spectrum sensing for cognitive radio networks: Theory and applications," IEEE Communications Surveys & Tutorials, vol.19, no.2, pp.1277-1304, Nov. 2016. https://doi.org/10.1109/COMST.2016.2631080
  2. R. Tandra, and A. Sahai, "SNR walls for signal detection," IEEE Journal of Selected Topics in Signal Processing, vol.2, no.1, pp.4-17, Feb. 2008. https://doi.org/10.1109/JSTSP.2007.914879
  3. S. H. Kamel, M. B. Abd-el-Malek, and S. E. El-Khamy, "Compressive spectrum sensing using chaotic matrices for cognitive radio networks," International Journal of Communication Systems, vol.32, no.6, Dec. 2018.
  4. E. S. Hosseini, V. Esmaeelzadeh, R. Berangi, and O. B. Akan, "A correlation-based and spectrum-aware admission control mechanism for multimedia streaming in cognitive radio sensor networks," International Journal of Communication Systems, vol.30, no.3, May. 2015.
  5. S. Dikmese, Z. Ilyas, P. C. Sofotasios, M. Renfors, and M. Valkama, "Sparse frequency domain spectrum sensing and sharing based on cyclic prefix autocorrelation," IEEE Journal on Selected Areas in Communications, vol.35, no.1, pp.159-172, Jan. 2017. https://doi.org/10.1109/JSAC.2016.2633058
  6. N. Wang, Y. Gao, F. Yang, Q. Bi, W. Xie, and C. Parini, "Energy detection-based spectrum sensing with constraint region in cognitive LTE systems," Transactions on Emerging Telecommunications Technologies, vol.28, no.11, Mar. 2017.
  7. A. Pandharipande and J. P. M. G. Linnartz, "Performance analysis of primary user detection in a multiple antenna cognitive radio," in Proc. of 2007 IEEE International Conference on Communications, Glasgow, UK, 24-28 June 2007.
  8. V. Kuppusamy and R. Mahapatra, "Primary user detection in OFDM based MIMO Cognitive Radio," in Proc. of 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008), Singapore, 15-17 May 2008.
  9. J. H. Lee, J. H. Baek, and S. H. Hwang, "Collaborative Spectrum Sensing using Energy Detector in Multiple Antenna System," in Proc. of 2008 10th International Conference on Advanced Communication Technology, Gangwon, Korea (South), 17-20 Feb. 2008.
  10. D. S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, "Fading Correlation and Its Effect on the Capacity of Multielement Antenna Systems," IEEE Transaction on Communications, vol.48, no.3, pp.502-513, Mar. 2000. https://doi.org/10.1109/26.837052
  11. S. Kim, J. Lee, H. Wang, and D. Hong, "Sensing performance of energy detector with correlated multiple antennas," IEEE Signal Processing Letters, vol.16, no.8, pp.671-674, Aug. 2009. https://doi.org/10.1109/LSP.2009.2021381
  12. Y. C. Liang, Y. Zeng, E. Peh, and A. T. Hoang, "Sensing-throughput tradeoff for cognitive radio networks," IEEE Transactions on Wireless Communications, vol.7, no.4, pp.1326-1337, Apr. 2008. https://doi.org/10.1109/TWC.2008.060869
  13. H. Shehata and T. Khattab, "Energy Detection Spectrum Sensing in Full-Duplex Cognitive Radio: The Practical Case of Rician RSI," IEEE Transactions on Communications, vol.67, no.9, pp.6544-6555, May. 2019. https://doi.org/10.1109/tcomm.2019.2916069
  14. H. Wang, G. Noh, D. Kim, S. Kim, and D. Hong, "Advanced sensing techniques of energy detection in cognitive radios," Journal of Communications and Networks, vol.12, no.1, pp.19-29, Feb. 2010. https://doi.org/10.1109/JCN.2010.6388431
  15. W. Ejaz and M. Ibnkahala, "Multiband spectrum sensing and rewurce allocation for IoT in cognitive 5G networks," IEEE Internet of Things Journal, vol.5, no.1, pp.150-163, Feb. 2018. https://doi.org/10.1109/jiot.2017.2775959
  16. E. Visotsky, S. Kuffner, and R. Peterson, "On collaborative detection of TV transmissions in support of dynamic spectrum sharing," in Proc. of First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005 (DySPAN 2005), Baltimore, MD, USA , 8-11 Nov. 2005.
  17. Y. Zeng, C. L. Koh, and Y.-C. Liang, "Maximum eigenvalue detection: theory and application," in Proc. of 2008 IEEE International Conference on Communications, Beijing, China, pp. 4160-4164, May 2008.
  18. R. Zhang, T. J. Lim, Y.-C. Liang, and Y. Zeng, "Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach," IEEE Transactions on Communications, vol. 58, no. 1, pp. 84-88, Jan. 2010. https://doi.org/10.1109/TCOMM.2010.01.080158
  19. Y. Zeng and Y.-C. Liang, "Eigenvalue-based spectrum sensing algorithms for cognitive radio," IEEE Transactions on Communications, vol. 57, no. 6, pp. 1784-1793, Jun. 2009. https://doi.org/10.1109/TCOMM.2009.06.070402
  20. C. Liu; H. Li; J. Wang; M. Jin, "Optimal Eigenvalue Weighting Detection for Multi-Antenna Cognitive Radio Networks," IEEE Transactions on Wireless Communications, vol.16, no.4, pp.2083 - 2096, Apr. 2017. https://doi.org/10.1109/TWC.2016.2632711
  21. S. L. Loyka, "Channel Capacity of MIMO Architecture Using the Exponential Correlation Matrix," IEEE Communications Letters, vol.5, no.9, pp.369-371, Sep. 2001. https://doi.org/10.1109/4234.951380
  22. G. D. Durgin and T. S. Rappaport, "Effects of Multipath Angular Spread on The Spatial Cross-correlation of Received Voltage Envelopes," in Proc. of IEEE 49th Vehicular Technology Conference, Houston, TX, USA, 16-20 May. 1999.
  23. S.M. Kay, Fundamentals of Statistical Signal Processing Volume II. Detection Theory, Englewood Cliffs, NJ, USA: PTR Prentice-Hall, 1993.
  24. Z. Quan, S. Chi, and A. H. Sayed, "Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks," IEEE Journal of Selected Topics in Signal Processing, vol.2, pp.28-40, Feb. 2008. https://doi.org/10.1109/JSTSP.2007.914882
  25. M. S. Alouini, A. Abdi, and M. Kaveh, "Sum of Gamma Variates and performance of Wireless Communication Systems Over Nakagami-Fading Channels," IEEE Transactions on Vehicular Technology, vol.50, pp.1471-1480, Nov. 2001. https://doi.org/10.1109/25.966578