{"ID":6023593,"CreatedAt":"2026-07-08T01:00:23.257252134Z","UpdatedAt":"2026-07-10T13:53:55.553307773Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.06300","arxiv_id":"2607.06300","title":"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.","short_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 effecti...","url_abs":"https://arxiv.org/abs/2607.06300","url_pdf":"https://arxiv.org/pdf/2607.06300v1","authors":"[\"Rodrigo Fischer\",\"Shrinivas Chimmalgi\",\"Andrej Rode\",\"Laurent Schmalen\"]","published":"2026-07-07T14:05:07Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[\"Reinforcement Learning\"]","has_code":false}