KSII Transactions on Internet and Information Systems (TIIS)

  • 제4권4호
  • /
  • Pages.475-490
  • /
  • 2010
  • /
  • 1976-7277(pISSN)
  • /
  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
권호 표지
DOI QR코드

DOI QR Code

HMM-based Adaptive Frequency-Hopping Cognitive Radio System to Reduce Interference Time and to Improve Throughput

  • 투고 : 2010.02.17
  • 심사 : 2010.07.11
  • 발행 : 2010.08.27
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Cognitive Radio is an advanced enabling technology for the efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. It is important to determine accurate spectrum utilization of the primary system in a cognitive radio environment. In order to define the spectrum utilization state, many CR systems use what is known as the quiet period (QP) method. However, even when using a QP, interference can occur. This causes reduced system throughput and contrary to the basic condition of cognitive radio. In order to reduce the interference time, a frequency-hopping algorithm is proposed here. Additionally, to complement the loss of throughput in the FH, a HMM-based channel prediction algorithm and a channel allocation algorithm is proposed. Simulations were conducted while varying several parameters. The findings show that the proposed algorithm outperforms conventional channel allocation algorithms.

키워드

참고문헌

  1. Sunghwan Sohn, Ning Han, Guanbo Zheng and Jae Moung Kim "Pilot Periodicity Based OFDM Signal Detection Method for Cognitive Radio System," IEICE Trans. Communication, vol. E91-B, no. 5, pp. 1644-1647, 2008. https://doi.org/10.1093/ietcom/e91-b.5.1644
  2. S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J.Commun.Mag, pp. 201-220, 2005.
  3. Ning Han, Sung Hwan Sohn, Jae Moung Kim, "A Blind OFDM Detection and Identification Method Based on Cyclostationarity for Cognitive Radio Application," IEICE Trans. Communication, vol. E92-B, no. 6, pp. 2235-2238, 2009. https://doi.org/10.1587/transcom.E92.B.2235
  4. IEEE, $IEEE P802.22^{TM}$/ DRAFTv1.1 Draft Standard for Wireless Regional Area Networks Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Policies and procedures for operation in the TV Bands.
  5. Dong Chen, Jiandong Li, Jing Ma, "In-band Sensing without Quiet Periods in Cognitive Radio," in Proc. of WCNC 2008, pp. 723-728, 2008.
  6. Daniel Willkomm, Mathias Bohge, Daniel Hollos, James Gross and Adam Wolisz, "Double Hopping: A New Approach for Dynamic Frequency Hopping in Cognitive Radio Network," in Proc. of Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium, pp.1-6, 2008.
  7. Rui Min; Daiming Qu; Yang Cao; Guohui Zhong, "Interference avoidance based on multi-step-ahead prediction for cognitive radio," in Proc. Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conf., pp. 227-231, 2008.
  8. Xinying He, Zhimin Zeng, Caili Guo, "Signal Classification Based on Cyclostationary Spectral Analysis and HMM/SVM in Cognitive Radio," in ICNTMA pp. 309-312, 2009.
  9. Sharma, M., Sahoo, A., Nayak, K.D. "Channel modeling based on interference temperature in underlay cognitive wireless networks," in ISWCS 08, pp. 224-228, 2008.
  10. Akbar, I.A.; Tranter, W.H., "Dynamic spectrum allocation in cognitive radio using hidden Markov models: Poisson distributed case," in Proc. of IEEE Southeast Conf., pp. 196-201, 2007.
  11. Wha Sook Jeon; Dong Geun Jeong, "An Advanced Quiet-Period Management Scheme for Cognitive Radio Systems," Vehicular Technology, IEEE Transactions on, vol. 59, pp 1242, 2010. https://doi.org/10.1109/TVT.2009.2036630
  12. Abramson, N. "The ALOHA System - Another Alternative for Computer Communications," in Proc. of Fall Joint Computer Conf. (AFIPS), vol. 37, pp. 251-285, 1970.
  13. Yariv Ephraim, Neri Merhav, "Hidden Markov Processes," IEEE Trans. on Information Theory, vol. 48, No.6, pp. 1518-1569, June 2002. https://doi.org/10.1109/TIT.2002.1003838
  14. Rabiner, L.R., "A tutorial on hidden Markov models and selected applications in speech recognition," in Proc. of the IEEE, pp. 257-286, 1989.
  15. Carl Mitchell, Mary Harper, and Leah Jamieson, "On Complexity of Explicit Duration HMM's," IEEE Trans. on speech and audio processing, vol. 3 no. 3, May. 1995.

피인용 문헌

  1. VHF Band Utilization Measurement for Cognitive Radio Application in Malaysia vol.85, pp.4, 2010, https://doi.org/10.1007/s11277-015-2930-0
  2. Statistical spectrum occupancy prediction for dynamic spectrum access: a classification vol.2018, pp.1, 2018, https://doi.org/10.1186/s13638-017-1019-8