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Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping

Signal Processing 2025-03-03 v1
Authors: Jingxin Deng , Bin Chen , Zhiwei Liang , Yi Lei , Gabriele Liga
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Abstract

We derive a heuristic nonlinear interference model for 4D probabilistic shaping considering the polarization and time correlation of the 4D symbols. We demonstrate an average SNR prediction gap from split-step Fourier simulations of 0.15~dB.

Keywords

wireless communication signal processing

Cite

@article{arxiv.2502.20605,
  title  = {Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping},
  author = {Jingxin Deng and Bin Chen and Zhiwei Liang and Yi Lei and Gabriele Liga},
  journal= {arXiv preprint arXiv:2502.20605},
  year   = {2025}
}

Comments

3 pages, 4 figures

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