Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Knowledge Distillation-aided End-to-End Learning for Linear Precoding in
  Multiuser MIMO Downlink Systems with Finite-Rate Feedback   We propose a deep learning-based channel estimation, quantization, feedback,
and precoding method for downlink multiuser multiple-input and multiple-output
systems. In the proposed system, channel estimation and quantization for
limited feedback are handled by a receiver deep neural network (DNN). Precoder
selection is handled by a transmitter DNN. To emulate the traditional channel
quantization, a binarization layer is adopted at each receiver DNN, and the
binarization layer is also used to enable end-to-end learning. However, this
can lead to inaccurate gradients, which can trap the receiver DNNs at a poor
local minimum during training. To address this, we consider knowledge
distillation, in which the existing DNNs are jointly trained with an auxiliary
transmitter DNN. The use of an auxiliary DNN as a teacher network allows the
receiver DNNs to additionally exploit lossless gradients, which is useful in
avoiding a poor local minimum. For the same number of feedback bits, our
DNN-based precoding scheme can achieve a higher downlink rate compared to
conventional linear precoding with codebook-based limited feedback.

8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph