# Increasing Achievable Information Rates via Geometric Shaping

arXiv: https://arxiv.org/abs/1804.08850 · HTML: https://mlsanity.com/paper/1804.08850/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Apr 2018.

## Built on by (most cited first, 1 of 1)

- [Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication](https://mlsanity.com/paper/2204.07457/) (2022)

## Abstract (arXiv)

Achievable information rates are used as a metric to design novel modulation formats via geometric shaping. The proposed geometrically shaped 256-ary constellation achieves SNR gains of up to 1.18 dB.