Conference paper Open Access

OFDM Based Visible Light Communication with Probabilistic Shaping

Gutema, Tilahun Zerihun; Haas, Harald; Popoola, Wasiu


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Gutema, Tilahun Zerihun</dc:creator>
  <dc:creator>Haas, Harald</dc:creator>
  <dc:creator>Popoola, Wasiu</dc:creator>
  <dc:date>2020-08-28</dc:date>
  <dc:description>shaped orthogonal frequency multiplexed (OFDM) modulation is presented. The average symbol energy of probabilistically shaped
OFDM modulation is investigated for different modulation orders of quadrature amplitude modulation (QAM) under different entropy
scenarios. Furthermore, the symbol error performance of the probabilistically shaped OFDM system under additive white Gaussian
noise (AWGN) channel condition is evaluated. The probabilistically shaped OFDM system outperforms the uniformly distributed in the symbol error ratio performance. For 256-QAM with an entropy of 7.84 bits, we have shown a 3 dB gain in signal-to-noise ratio (SNR) per symbol compared to uniform 256-QAM at a symbol error ratio of 10−3. This gain increases to 5.5 dB by decreasing the entropy to 6.80 bits.</dc:description>
  <dc:identifier>https://zenodo.org/record/4005377</dc:identifier>
  <dc:identifier>10.1145/3412449.3412548</dc:identifier>
  <dc:identifier>oai:zenodo.org:4005377</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/814215/</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>OFDM Based Visible Light Communication with Probabilistic Shaping</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
107
86
views
downloads
Views 107
Downloads 86
Data volume 133.0 MB
Unique views 95
Unique downloads 77

Share

Cite as