Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse
  Synchronization   In IEEE 802.11 WiFi-based waveforms, the receiver performs coarse time and
frequency synchronization using the first field of the preamble known as the
legacy short training field (L-STF). The L-STF occupies upto 40% of the
preamble length and takes upto 32 us of airtime. With the goal of reducing
communication overhead, we propose a modified waveform, where the preamble
length is reduced by eliminating the L-STF. To decode this modified waveform,
we propose a machine learning (ML)-based scheme called PRONTO that performs
coarse time and frequency estimations using other preamble fields, specifically
the legacy long training field (L-LTF). Our contributions are threefold: (i) We
present PRONTO featuring customized convolutional neural networks (CNNs) for
packet detection and coarse CFO estimation, along with data augmentation steps
for robust training. (ii) We propose a generalized decision flow that makes
PRONTO compatible with legacy waveforms that include the standard L-STF. (iii)
We validate the outcomes on an over-the-air WiFi dataset from a testbed of
software defined radios (SDRs). Our evaluations show that PRONTO can perform
packet detection with 100% accuracy, and coarse CFO estimation with errors as
small as 3%. We demonstrate that PRONTO provides upto 40% preamble length
reduction with no bit error rate (BER) degradation. Finally, we experimentally
show the speedup achieved by PRONTO through GPU parallelization over the
corresponding CPU-only implementations.

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The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
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The categories of this paper are: q-fin
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The categories of this paper are: eess
10
The categories of this paper are: q-bio
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The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg