Research Article

SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks

Table 4

SPECTRUMNET model architecture details.

Layer (type)Output shapeParameters

conv2d (Conv2D)(None, 64, 64, 16)448
max_pooling2d (MaxPooling2D)(None, 32, 32, 16)0
SPECTRUMNET Block_1(None, 16, 16, 32)4768
SPECTRUMNET Block_2(None, 8, 8, 64)18752
Dropout (dropout)(None, 8, 8, 64)0
SPECTRUMNET Block_3(None, 4, 4, 256)148736
dropout_1 (dropout)(None, 4, 4, 256)0
Flatten (flatten)(None, 4096)0
DENSE block(None, 128)524928
DENSE block(None, 64)8512
SoftMax layer(None, 2)130
Total parameters706,274
Trainable parameters705,186
Nontrainable parameters1,088