Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지
DOI QR코드

DOI QR Code

Real-Time White Spectrum Recognition for Cognitive Radio Networks over TV White Spaces

  • Kim, Myeongyu (Department of IT convergence, Korea University) ;
  • Jeon, Youchan (Department of Electrical Engineering, Korea University) ;
  • Kim, Haesoo (Department of Electronic Engineering, Kyungil University) ;
  • Kim, Taekook (Department of IT convergence, Korea University) ;
  • Park, Jinwoo (Department of Electrical Engineering, Korea University)
  • Received : 2013.09.15
  • Published : 2014.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

A key technical challenge in TV white spaces is the efficient spectrum usage without interfering with primary users. This paper considers available spectrum discovery scheme using in-band sensing signal to support super Wi-Fi services effectively. The proposed scheme in this paper adopts non-contiguous orthogonal frequency-division multiplexing (NC-OFDM) to utilize the fragmented channel in TV white space due to microphones while this channel cannot be used in IEEE 802.11af. The proposed solution is a novel available spectrum discovery scheme by exploiting the advantages of a sensing signaling. The proposed method achieves considerable improvement in throughput and delay time. The proposed method can use more subcarriers for transmission by applying NC-OFDM in contrast with the conventional IEEE 802.11af standard. Moreover, the increased number of wireless microphones (WMs) hardly affects the throughput of the proposed method because our proposal only excludes some subcarriers used by WMs. Additionally, the proposed method can cut discovery time down to under 10 ms because it can find available channels in real time by exchanging sensing signal without interference to the WM.

Keywords

References

  1. H. S. Chen and W. Gao, "Spectrum sensing for TV white space in North America," IEEE J. Sel. Areas Commun., vol. 29. no. 2, pp. 316-326, Feb. 2011.
  2. P. Bahl, R. Chandra, T. Moscibroda, R. Murty, and M. Welsh, "White space networking withWi-Fi like connectivity," in Proc. ACMSIGCOMM, vol. 39, no. 4, Oct. 2009, pp. 27-38.
  3. S. Feng, H. Zheng, H. Wang, J. Liu, and P. Zhang, "Preamble design for non-contiguous spectrum usage in cognitive radio networks," in Proc. IEEE WCNC, Apr. 2009, pp. 1-6.
  4. C. R. Stevenson, G. Chouinard, Z. Lei, W. Hu, and S. J. Shellhammer, "IEEE 802.22: The first cognitive radio wireless regional area network standard," IEEE Commun. Mag., vol. 47, no. 1, pp. 130-138, Jan. 2009. https://doi.org/10.1109/MCOM.2009.4752688
  5. H. Chen and W. Gao, "Spectrum sensing for FM wireless microphone Signals," in Proc. IEEE DySPAN, Apr. 2010, pp. 1-5.
  6. H. Chen et al., "Spectrum sensing for wireless microphone signals," in Proc. IEEE SECON, June 2008.
  7. R. Balamurthi, H. Joshi, N. Cong, A. K. Sadek, S. J. Shellhammer, and S. Cong, "A TV white space spectrum sensing prototype," in Proc. IEEE DySPAN, May 2011, pp. 297-307.
  8. IEEE P802.11af, "Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 5: TV white spaces operation," July 2012.
  9. IEEE P802.22, "Draft standard for wireless regional area networks part 22: cognitive wireless RAN medium access control and physical layer specifications: Policies and procedures for operation in the TV bands," Apr. 2008.
  10. H. Tang, "Some physical layer issues of wide-band cognitive radio systems," in Proc. IEEE DySPAN, pp. 151-159, Nov. 2005.
  11. J. D. Poston and W. D. Horne, "Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels," in Proc. IEEE DySPAN, pp. 607-610, Nov. 2005.
  12. M. P. Wylie-Green, "Dynamic spectrum sensing by multiband OFDM radio for interference mitigation," in Proc. IEEE DySPAN, Nov. 2005, pp. 619-625.
  13. M. Krondorf, T. J. Liang, and G. Fettweis, "On synchronization of opportunistic radio OFDM systems," in Proc. IEEE VTC, May 2008, pp. 1686-1690.
  14. A.M.Wyglinski, "Effects of bit allocation on non-contiguous multicarrierbased cognitive radio transceivers," in Proc. IEEE VTC, Sept. 2006, pp.1-5.
  15. Y. W. Jae et al., "Fractional bandwidth mode detection and synchronization for OFDM based cognitive radio systems," in Proc. IEEE VTC, May 2008, pp. 1599-1603.
  16. J. Ding, D. Qu, X. Sun, T. Jiang, and L. Liu, "Active subchannel detection for non-contiguous OFDM-based cognitive radio systems," in Proc. IEEE GLOBECOM, pp. 1-6, Dec. 2010.
  17. D. Qu, J. Ding, T. Jiang, and X. Sun, "Detection of non-contiguous OFDM symbols for cognitive radio systems without out-of-band spectrum synchronization," IEEE Trans.Wireless Commun., vol. 10, no. 2, pp. 693-701, Feb. 2011. https://doi.org/10.1109/TWC.2011.120810.101324
  18. FCC, ET Docket No. 08-260, "Second report and order and memorandum opinion and order," Nov. 2008.
  19. FCC, ET Docket No. 10-174, "Second memorandum opinion and order," Sept. 2010.
  20. IEEE 802.11, "Part 11: wireless LAN medium access control (MAC) and the physical layer (PHY) specifications," IEEE Standard 802.11, June 2007.
  21. Y. Xiao and J. Rosdahl, "Throughput and delay limits of IEEE 802.11," IEEE Commun. Lett., vol. 6, no. 8, pp. 355-357, Aug. 2002. https://doi.org/10.1109/LCOMM.2002.802035
  22. G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE J. Sel. Areas Commun., vol. 18, no. 3, pp. 535-547, Mar. 2000. https://doi.org/10.1109/49.840210
  23. P. Chatzimisios, A. C. Boucouvalas, and V. Vitsas, "Packet delay analysis of IEEE 802.11 MAC protocol," Electron. Lett., vol. 39, no. 18, pp. 1358- 1359, Sept. 2003. https://doi.org/10.1049/el:20030868
  24. W. Zhao, "MadWifi Driver Summary," (2007). [Online]. Available: http://mesh.calit2.net/whzhao/madwifi_summary.pdf
  25. Y. Jeon et al., "Seamless handover method by channel switching in IEEE 802.11 wireless LANs," IEICE Transactions on Communications, vol. E95-B, no. 1, pp. 345-348, Jan. 2012. https://doi.org/10.1587/transcom.E95.B.345