End-to-end Learning of Probabilistic and Geometric Constellation Shaping with Iterative Receivers

In this paper, an end-to-end learning method for joint probabilistic and geometric constellation shaping with a shaping-encoder assisted transceiver architecture is investigated.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-08
DOI
https://doi.org/10.5281/zenodo.17236683
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00
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article

End-to-end Learning of Probabilistic and Geometric Constellation Shaping with Iterative Receivers

Zenodo (CERN European Organization for Nuclear Research)
earthquake and tectonic studies
article

End-to-end Learning of Probabilistic and Geometric Constellation Shaping with Iterative Receivers

article en

Abstract

In this paper, an end-to-end learning method for joint probabilistic and geometric constellation shaping with a shaping-encoder assisted transceiver architecture is investigated.

Zenodo (CERN European Organization for Nuclear Research)
University of Oulu (FI)
Openalex Percentile: Top 41%
earthquake and tectonic studies
DOIOpen Access PDFOpenAlex
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End-to-end Learning of Probabilistic and Geometric Constellation Shaping with Iterative Receivers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS