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
|