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- Interference-Aware Spectrum Occupancy Prediction for Cognitive Radio Networks
Interference-Aware Spectrum Occupancy Prediction for Cognitive Radio Networks
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This work presents different hidden Markov model (HMM) based spectrum occupancy prediction schemes for filter bank based multi-carrier (FBMC) transmission applications. By employing a discrete Fourier transform-modulated filter bank (DFT-FB), the SU receiver can efficiently explore the time-frequency (TF) characteristics of the received signal to be utilized in a suitable prediction scheme.
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