Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems
Signal Processing
2026-07-07 v1
Abstract
We evaluate joint probabilistic and geometric constellation shaping via reinforcement learning for complexity-constrained joint equalization and demodulation of direct detection optical signals. We demonstrate the proposed technique in a simulated 56 GBd, 2.2 km C-band direct-detection system, demonstrating its effectiveness for complexity-constrained receivers.
Cite
@article{arxiv.2607.06300,
title = {Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems},
author = {Rodrigo Fischer and Shrinivas Chimmalgi and Andrej Rode and Laurent Schmalen},
journal= {arXiv preprint arXiv:2607.06300},
year = {2026}
}
Comments
Accepted for a poster presentation at the European Conference on Optical Communication 2026 (ECOC)