Empirical comparison finds CNN, RNN and BiRNN achieve similar detection performance with abundant data and resources while FC performs worse except under strict complexity constraints.
A Neural Network Detector for Spectrum Sensin g un- der Uncertainties
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Comparison of Neural Network Architectures for Spectrum Sensing
Empirical comparison finds CNN, RNN and BiRNN achieve similar detection performance with abundant data and resources while FC performs worse except under strict complexity constraints.