Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised
  Learning   Cell-free massive MIMO (CF-mMIMO) systems represent a promising approach to
increase the spectral efficiency of wireless communication systems. However,
near-optimal beamforming solutions require a large amount of signaling exchange
between access points (APs) and the network controller (NC). In this letter, we
propose two unsupervised deep neural networks (DNN) architectures, fully and
partially distributed, that can perform decentralized coordinated beamforming
with zero or limited communication overhead between APs and NC, for both fully
digital and hybrid precoding. The proposed DNNs achieve near-optimal sum-rate
while also reducing computational complexity by 10-24x compared to conventional
near-optimal solutions.

30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
2
The categories of this paper are: math