共 10 条
- [1] Understandthe predictability of wireless spectrum:a large-scale empiricalstudy. Song Cheng-qi,Chen Da-wei,Zhang Qian. IEEE International Conference on Communications . 2010
- [2] An autoregressiveapproach for spectrum occupancy modeling and predictionbased on synchronous measurements. Gorcin A,Celebi H,Khalid A Q,et al. IEEE 22thInternational Symposium on Personal,Indoor and MobileRadio Commission . 2011
- [3] A quantitative assessmentof wireless spectrum measurements for dynamic spectrumaccess. Pagadarai S,Wyglinski A M. Proceedings of the 4th International Conference onCROW NCOM . 2009
- [4] Time series ARIMA model ofspectrum occupancy for cognitive radio. Wang Zhe,Salous S. IET Seminar onCognitive Radio and Software Defined Radios . 2008
- [5] Miningspectrum usage data:a large-scale spectrum measurementstudy. Yin Si-xing,Chen Da-wei,Zhang Qian,et al. IEEE Transactions on Mobile Computing . 2011
- [6] Time Series Analysis:Univariate and MultivariateMethods. Wei W S. . 2006
- [7] Spectrum usageprediction based on high-order Markov model for cognitive radionetworks. LI YANG,DONG YU-NING,ZHANG HUI,et al. CIT 2010:Proceedings of IEEE Conference onComputer and Information Technology . 2010
- [8] Binary time series approach to spectrum prediction for cognitive radio. Yarkan S,,Arslan. Vehicular Technology Conference . 2007
- [9] Discrete-time spectrumoccupancy model based on Markov chain and duty cyclemodels. López-Benítez M,Casadevall F. IEEE International Symposium on DynamicSpectrum Access Networks . 2011
- [10] A spectrumsurveying framework for dynamic spectrum accessnetworks. Datla D,Wyglinski A M,Minden G J. IEEE Transactions on Vehicular Technology . 2009