Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Spectrum Sensing and Data Transmission in a Cognitive Relay Network Considering Spatial False Alarms

  • Tishita, Tasnina A. (Department of Electronics and Communications Engineering, East West University) ;
  • Akhter, Sumiya (Department of Electronics and Communications Engineering, East West University) ;
  • Islam, Md. Imdadul (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Amin, M. Ruhul (Department of Electronics and Communications Engineering, East West University)
  • Received : 2013.05.22
  • Accepted : 2013.07.21
  • Published : 2014.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, the average probability of the symbol error rate (SER) and throughput are studied in the presence of joint spectrum sensing and data transmission in a cognitive relay network, which is in the environment of an optimal power allocation strategy. In this investigation, the main component in calculating the secondary throughput is the inclusion of the spatial false alarms, in addition to the conventional false alarms. It has been shown that there exists an optimal secondary power amplification factor at which the probability of SER has a minimum value, whereas the throughput has a maximum value. We performed a Monte-Carlo simulation to validate the analytical results.

Keywords

References

  1. I. F. Akyildiz, W.Y. Lee, and K. R. Chowdhury, "CRAHNs: cognitive radio ad hoc networks," Ad Hoc Networks, vol. 7, no. 5, pp. 810-836, Jul. 2009. https://doi.org/10.1016/j.adhoc.2009.01.001
  2. S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, Feb. 2005. https://doi.org/10.1109/JSAC.2004.839380
  3. I. F. Akyildiz, W.Y. Lee, M. C. Vuran, and S. Mohanty, "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey," Computer Networks, vol. 50, no. 13, pp. 2127- 2159, Sep. 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  4. S. Haykin, D. J. Thomson, and J. H. Reed, "Spectrum sensing for cognitive radio," Proceedings of the IEEE, vol. 97, no. 5, pp. 849-877, May 2009. https://doi.org/10.1109/JPROC.2009.2015711
  5. J. Mitola III, "Cognitive radio: an integrated agent architecture for software defined radio," Ph.D. dissertation, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000.
  6. J. Mitola III and G. Q. Maguire Jr., "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, Aug. 1999. https://doi.org/10.1109/98.788210
  7. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, Mar. 2009. https://doi.org/10.1109/SURV.2009.090109
  8. S. Huang, H. Chen, and Y. Zhang, "Optimal power allocation for spectrum sensing and data transmission in cognitive relay networks," IEEE Wireless Communications Letters, vol. 1, no. 1, pp. 26-29, Feb. 2012. https://doi.org/10.1109/WCL.2012.120211.110056
  9. W. Han, J. Li, Q. Liu, and L. Zhao, "Spatial false alarms in cognitive radio," IEEE Communications Letters, vol. 15, no. 5, pp. 518-520, May 2011.
  10. Y. C. Liang, Y. Zeng, E. C. Y. 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
  11. A. Ghasemi and E. S. Sousa, "Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks," in Proceedings of the 4th IEEE Consumer Communications and Networking Conference, Las Vegas, NV, January 11-13, 2007, pp. 1022-1026.
  12. J. Shen, T. Jiang, S. Liu, and Z. Zhang, "Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks," IEEE Transactions on Wireless Communications, vol. 8, no. 10, pp. 5166-5175, Oct. 2009. https://doi.org/10.1109/TWC.2009.081110
  13. E. Peh and Y. C. Liang, "Optimization for cooperative sensing in cognitive radio networks," in Proceedings of the IEEE Wireless Communications and Networking Conference, Kowloon, Hong Kong, March 11-15, 2007, pp. 27-32.
  14. M. K. Simon and M.S. Alouini, Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis. New York, NY: John Wiley & Sons, 2000.
  15. S. S. Haykin and M. Moher, Modern Wireless Communications. Upper Saddle River, NJ: Pearson/Prentice Hall, 2005.

Cited by

  1. An efficient transmission mode selection based on reinforcement learning for cooperative cognitive radio networks vol.6, pp.1, 2016, https://doi.org/10.1186/s13673-016-0057-2
  2. Sensor Clustering and Sensing Technology for Optimal Throughput of Sensor-Aided Cognitive Radio Networks Supporting Multiple Licensed Channels vol.2015, 2015, https://doi.org/10.1155/2015/123982
  3. Dynamic Group Management Scheme for Sustainable and Secure Information Sensing in IoT vol.8, pp.10, 2016, https://doi.org/10.3390/su8101081
  4. Secure Cooperative Spectrum Sensing via a Novel User-Classification Scheme in Cognitive Radios for Future Communication Technologies vol.7, pp.2, 2015, https://doi.org/10.3390/sym7020675
  5. System level simulation platform for Cognitive LTE vol.72, pp.7, 2016, https://doi.org/10.1007/s11227-015-1537-2