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Research PaperResearchia:202607.08031

Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems

Rodrigo Fischer

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. --- Source: arXiv:2607.06300v1 - http://arxiv.org/abs/2607.06300v1 PDF: https://arxiv.org/pdf/2607.06300v1 Original Link: http://arxiv....

Submitted: July 8, 2026Subjects: Engineering; Chemical Engineering

Description / Details

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.


Source: arXiv:2607.06300v1 - http://arxiv.org/abs/2607.06300v1 PDF: https://arxiv.org/pdf/2607.06300v1 Original Link: http://arxiv.org/abs/2607.06300v1

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Submission Info
Date:
Jul 8, 2026
Topic:
Chemical Engineering
Area:
Engineering
Comments:
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