Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems
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....
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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Jul 8, 2026
Chemical Engineering
Engineering
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