Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Deep Sensing Through Transfer Learning in Cognitive Radio   We propose a robust spectrum sensing framework based on deep learning. The
received signals at the secondary user's receiver are filtered, sampled and
then directly fed into a convolutional neural network. Although this deep
sensing is effective when operating in the same scenario as the collected
training data, the sensing performance is degraded when it is applied in a
different scenario with different wireless signals and propagation. We
incorporate transfer learning into the framework to improve the robustness.
Results validate the effectiveness as well as the robustness of the proposed
deep spectrum sensing framework.

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The categories of this paper are: q-bio
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
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The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an