# Partially Ordered Statistics Demapping for Multi-Dimensional Modulation   Formats

**Authors:** Djalal F. Bendimerad, Huijian Zhang, Ingmar Land, and Hartmut, Hafermann

arXiv: 1904.12828 · 2019-04-30

## TL;DR

This paper introduces a low-complexity, high-performance soft-demapping algorithm for multi-dimensional modulation formats, demonstrating superior efficiency over existing methods without sacrificing accuracy in linear channels.

## Contribution

It presents a novel low-complexity soft-demapping algorithm specifically designed for multi-dimensional modulation formats, outperforming existing algorithms in efficiency.

## Key findings

- Outperforms current algorithms in complexity
- Maintains performance in linear channels
- Effective for four 8D modulation formats

## Abstract

We propose a very low-complexity and high-performance algorithm for soft-demapping of multi-dimensional modulation formats. We assess its performance over the linear channel for four 8D formats, generated using binary arithmetics. This solution outperforms current algorithms in terms of complexity without loss in performances.

## Full text

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## Figures

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## References

7 references — full list in the complete paper: https://tomesphere.com/paper/1904.12828/full.md

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Source: https://tomesphere.com/paper/1904.12828