Interference-Aware Spectrum Occupancy Prediction for Cognitive Radio Networks

Al Halaseh, Rana

kassel university press, ISBN: 978-3-7376-0552-6, 2018, 153 Pages

URN: urn:nbn:de:0002-405532

DOI: 10.19211/KUP9783737605533

Zugl.: Kassel, Univ., Diss. 2018

Content: 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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