Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Energy-Efficient Subchannel and Power Allocation for HetNets Based on
  Convolutional Neural Network   Heterogeneous network (HetNet) has been proposed as a promising solution for
handling the wireless traffic explosion in future fifth-generation (5G) system.
In this paper, a joint subchannel and power allocation problem is formulated
for HetNets to maximize the energy efficiency (EE). By decomposing the original
problem into a classification subproblem and a regression subproblem, a
convolutional neural network (CNN) based approach is developed to obtain the
decisions on subchannel and power allocation with a much lower complexity than
conventional iterative methods. Numerical results further demonstrate that the
proposed CNN can achieve similar performance as the Exhaustive method, while
needs only 6.76% of its CPU runtime.

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The categories of this paper are: atom-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
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The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
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The categories of this paper are: econ
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
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The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg