Interference-Aware Spectrum Occupancy Prediction for Cognitive Radio Networks

Beschreibung

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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Rana Al Halaseh

Themen in »Interference-Aware Spectrum Occupancy Prediction for Cognitive Radio Networks«

channel occupancy prediction continuous hidden Markov models coupled hidden Markov models discrete Fourier transform modulated filter bank wireless cognitive radio

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