Browse > Article

Cognitive Radio Based Spectrum Sharing: Evaluating Channel Availability via Traffic Pattern Prediction  

Li, Xiukui (Department of Electrical and Computer Engineering Michigan Technological University)
Zekavat, Seyed A. (Reza) (Department of Electrical and Computer Engineering Michigan Technological University)
Publication Information
Abstract
In this paper, a technique is proposed that enables secondary users to evaluate channel availability in cognitive radio networks. Here, secondary users estimate the utilization of channels via predicting the traffic pattern of primary user, and select a proper channel for radio transmission. The proposed technique reduces the channel switching rate of secondary users (the rate of switching from one channel to another) and the interference on primary users, while maintaining a reasonable call blocking rate of secondary users.
Keywords
Cognitive radio; opportunistic channel utilization; spectrum sharing; traffic pattern prediction;
Citations & Related Records

Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 D. Cabric, S. M. Mishra, and R. W. Brodersen, 'Implementation issues in spectrum sensing for cognitive radios,' in Proc. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, Nov. 2004, pp. 772–776   DOI
2 G. Ganesan and Y. Li, 'Cooperative spectrum sensing in cognitive radio networks,' in Proc. IEEE DySPAN 2005, Nov. 2005, pp. 137–143   DOI
3 P. Moungnoul, N. Laipat, N., T. T. Hung, and T. Paungma, "GSM traffic forecast by combining forecasting technique," in Proc. International Conference on Information, Communications, and Signal Processing, 2005, Dec. 2005, pp. 429–433   DOI
4 Y. Shu, M. Yu, J. Liu, and O. W. W. Yang, 'Wireless traffic modeling and prediction using seasonal ARIMA models,' in Proc. IEEE ICC 2003, vol. 3, May 2003, pp. 1675–1679   DOI
5 F. Kohandani, D.W. McAvoy, and A. K. Khandani, "Wireless airtime traffic estimation using a state space model," in Proc. CNSR 2006, May 2006, p. 8   DOI
6 H. Chen and L. Trajkovic, 'Trunked radio systems: Traffic prediction based on user clusters,' in Proc. International Conference on Wireless Communication Systems, 2004, Sept. 2004, pp. 76–80   DOI
7 Y. Lin and I. Chlamtac, 'Large effective call holding times for a PCS network,' in Proc. IEEE PIMRC 1996, vol. 1, Oct. 1996, pp. 143–147   DOI
8 B. Wild and K. Ramchandran, "Detecting primary receivers for cognitive radio applications," in Proc. IEEE DySPAN 2005, Nov. 2005, pp. 124–130   DOI
9 P. J. Brockwell and R. A. Davis, Introduction to Time Series and Forecasting, 2nd ed., New York: Springer-Verlag, 2002
10 M. Papadopouli, H. Shen, E. Raftopoulos,M. Ploumidis, and F. Hernandez- Campos, 'Short-term traffic forecasting in a campus-wide wireless network,' in Proc. IEEE PIMRC 2005, vol. 3, Sept. 2005, pp. 1446–1452   DOI
11 C. Jedrzycki and V. C. M. Leung, "Probability distribution of channel holding time in cellular telephony systems," in Proc. IEEE VTC 1996, vol. 1, 28 April-1 May 1996, pp. 247–251   DOI
12 R. W. Brodersen, A. Wolisz, D. Cabric, S. M. Mishra, and D. Willkomm, 2004 White Paper: "CORVUS-A cognitive radio approach for usage of virtual unlicensed spectrum," [Online]. Available: http://bwrc.eecs.berkeley. edu/Research/MCMA/
13 X. Li and S. A. Zekavat, 'Traffic pattern prediction and performance investigation for cognitive radio systems,' in Proc. IEEE WCNC 2008, March, 2008, pp. 894–899   DOI
14 S. Haykin, 'Cognitive radio: brain-empowered wireless communications,' IEEE J. Sel. Areas Commun., vol. 23, pp. 201–220, Feb. 2005   DOI   ScienceOn
15 Y. Akinaga, S. Kaneda, N. Shinagawa, and A. Miura, "A proposal for a mobile communication traffic forecasting method using time-series analysis for multi-variate data," in Proc. IEEE GLOBECOM 2005, vol. 2, Nov. 2005, p. 6   DOI
16 D. Snyder and M. Miller, Random Point Processes in Time and Space, 2nd ed., New York : Springer-Verlag, 1991
17 N. Han, S. Shon, J. H. Chung, and J. M. Kim, "Spectral correlation based signal detection method for spectrum sensing in IEEE 802.22 WRAN systems," in Proc. ICACT 2006, vol. 3, Feb. 2006, p. 6   DOI