DOI QR코드

DOI QR Code

Transmission Power-Based Spectrum Sensing for Cognitive Ad Hoc Networks

  • Choi, Hyun-Ho (Department of Electrical, Electronic and Control Engineering, Institute for Information Technology Convergence, Hankyong National University)
  • 투고 : 2013.09.16
  • 심사 : 2013.11.11
  • 발행 : 2014.06.30

초록

In spectrum sensing, there is a tradeoff between the probability of missed detection and the probability of a false alarm according to the value of the sensing threshold. Therefore, it is important to determine the sensing threshold suitable to the environment of cognitive radio networks. In this study, we consider a cognitive radio-based ad hoc network where secondary users directly communicate by using the same frequency band as the primary system and control their transmit power on the basis of the distance between them. First, we investigate a condition in which the primary and the secondary users can share the same frequency band without harmful interference from each other, and then, propose an algorithm that controls the sensing threshold dynamically on the basis of the transmit power of the secondary user. The analysis and simulation results show that the proposed sensing threshold control algorithm has low probabilities of both missed detection and a false alarm and thus, enables optimized spectrum sharing between the primary and the secondary systems.

키워드

참고문헌

  1. 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, 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  2. H. V. Van and I. S. Koo, "A cooperative spectrum sensing scheme with an adaptive energy threshold in cognitive radios," International Journal of Information and Communication Engineering, vol. 9, no. 4, pp. 391-395, 2011.
  3. W. Lee and D. H. Cho, "Enhanced spectrum sensing scheme in cognitive radio systems with MIMO antennae," IEEE Transactions on Vehicular Technology, vol. 60, no. 3, pp. 1072-1085, 2011. https://doi.org/10.1109/TVT.2011.2112676
  4. K. Seshukumar and R. Saravanan, "Spectrum sensing review in cognitive radio," in Proceedings of the International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), Tiruvannamalai, India, pp. 1-4, 2013.
  5. L. Luo and S. Roy, "Efficient spectrum sensing for cognitive radio networks via joint optimization of sensing threshold and duration," IEEE Transactions on Communications, vol. 60, no. 10, pp. 2851-2860, 2012. https://doi.org/10.1109/TCOMM.2012.072612.100605
  6. X. Ling, B. Wu, H. Wen, P. H. Ho, Z. Bao, and L. Pan, "Adaptive threshold control for energy detection based spectrum sensing in cognitive radios," IEEE Wireless Communications Letters, vol. 1, no. 5, pp. 448-451, 2012. https://doi.org/10.1109/WCL.2012.062512.120299
  7. F. T. Foukalas, P. T. Mathiopoulos, and G. T. Karetsos, "Joint optimal power allocation and sensing threshold selection for SU's capacity maximisation in SS CRNs," Electronics Letters, vol. 46, no. 20, pp. 1406-1407, 2010. https://doi.org/10.1049/el.2010.1355
  8. D. Avidor, S. Mukherjee, and F. A. Onat, "Transmit power distribution of wireless ad hoc networks with topology control," IEEE Transactions on Wireless Communications, vol. 7, no. 4, pp. 1111-1116, 2008. https://doi.org/10.1109/TWC.2008.060561
  9. S. Sorooshyari, C. W. Tan, and M. Chiang, "Power control for cognitive radio networks: axioms, algorithms, and analysis," IEEE/ACM Transactions on Networking, vol. 20, no. 3, pp. 878-891, 2012. https://doi.org/10.1109/TNET.2011.2169986
  10. P. Setoodeh and S. Haykin, "Robust transmit power control for cognitive radio," Proceedings of the IEEE, vol. 97, no. 5, pp. 915-939, 2009. https://doi.org/10.1109/JPROC.2009.2015718
  11. C. Sun, Y. D. Alemseged, H. N. Tran, and H. Harada, "Transmit power control for cognitive radio over a Rayleigh fading channel," IEEE Transactions on Vehicular Technology, vol. 59, no. 4, pp. 1847-1857, 2010. https://doi.org/10.1109/TVT.2009.2037913
  12. Z. Wang, L. Jiang, and C.He, "A novel price-based power control algorithm in cognitive radio networks," IEEE Communications Letters, vol.17, no. 1, pp. 43-46, 2013. https://doi.org/10.1109/LCOMM.2012.120612.121587
  13. H. H. Choi, K. Jang, and Y. Cheong, "Adaptive sensing threshold control based on transmission power in cognitive radio systems," in Proceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (Crown Com), Singapore, pp. 1-6, 2008.
  14. H. Hu and Q. Zhu, "Dynamic spectrum access in underlay cognitive radio system with SINR constraints," in Proceedings of the 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCom), Beijing, China, pp. 1-4, 2009.
  15. Institute of Electrical and Electronics Engineers (IEEE), "IEEE standard for Information technology: Telecommunications and information exchange between systems Wireless Regional Area Networks (WRAN): Specific requirements Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Policies and Procedures for Operation in the TV Bands," IEEE Standard 802.22-2011, 2011.
  16. K. Hamdi, W. Zhang, and K. Ben Letaief, "Power control in cognitive radio systems based on spectrum sensing side information," in Proceedings of the IEEE International Conference on Communications (ICC), Glasgow, UK, pp. 5161-5165, 2007.
  17. European Radio communications Committee, "Handbook on radio equipment and systems radio microphones and simple wide band audio links," ERC Report 42, European Conference of Postal and Telecommunications Administrations (CEPT), Copenhagen, Denmark, 1996.
  18. T. S. Rappaport, Wireless Communications: Principles and Practice, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 2002.