The first step consists in locating the frequency band over which the hostile terminal is communicating and then, by some mixed signals separation technique, ...
algorithm for cognitive radio networks that helps eliminating and banning hostile terminals that may violate the spectrum sharing policy in the network.
Signal separation and classification algorithm for cognitive radio networks ... Signal classification in heterogeneous OFDM-based cognitive radio systems.
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A novel signal separation algorithm based on compressed sensing for wideband spectrum sensing in cognitive radio networks · Computer Science, Engineering.
In this paper, we propose a novel signal separation algorithm for spectrum sensing and signal separation, which locates and separates signals occupying the ...
We design a convolutional neural network (CNN) and a recurrent neural network (RNN) to detect the underlying wireless signal based on the received. I/Q samples.
A cognitive radio (CR) must be aware of its radio environment and able to recognize the waveforms that are present. In this paper, we present a global view ...
Jun 21, 2022 · It is found in the literature that the most commonly used technique for spectrum sensing in cognitive radio networks (CRNs) is energy detection ...
Mar 29, 2017 · algorithm for Cognitive Radio (CR) signal based on machine ... spectrum sensing for cognitive radio wireless networks,” in. Proc ...
A technique for spectrum sensing based on blind source separation is explored. The methodology includes a single-to-multichannel procedure through singular ...