Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866929418554834944 |
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| author | Askari, Mohammad Taha Lampe, Lutz |
| author_facet | Askari, Mohammad Taha Lampe, Lutz |
| contents | We introduce a practical sign-dependent sequence selection metric for probabilistic amplitude shaping and propose a simple method to predict the gains in signal-to-noise ratio (SNR) for sequence selection. The proposed metric provides a $0.5$ dB SNR gain for single-polarized 256-QAM transmission over a long-haul fiber link. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_09006 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping Askari, Mohammad Taha Lampe, Lutz Signal Processing Information Theory We introduce a practical sign-dependent sequence selection metric for probabilistic amplitude shaping and propose a simple method to predict the gains in signal-to-noise ratio (SNR) for sequence selection. The proposed metric provides a $0.5$ dB SNR gain for single-polarized 256-QAM transmission over a long-haul fiber link. |
| title | Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2407.09006 |