# Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications

## TL;DR

This paper introduces a SNR-adaptive convolutional coding scheme with optimized constellations to improve low-latency wireless communications, outperforming traditional methods in error rate and spectral efficiency.

## Contribution

It proposes a novel non-iterative convolutional coding system with optimized constellations tailored for low-latency requirements, enhancing performance over existing adaptive systems.

## Key findings

- Significant bit-error-rate improvements
- Enhanced spectral efficiency
- Outperforms traditional adaptive modulation systems

## Abstract

Fifth generation new radio aims to facilitate new use cases in wireless communications. Some of these new use cases have highly de-manding latency requirements; many of the powerful forward error correction codes deployed in current systems, such as the turbo and low-density parity-check codes, do not perform well when the low-latency requirement does not allow iterative decoding. As such, there is a rejuvenated interest in noniterative/one-shot decoding algorithms. Motivated by this, we propose a signal-to-noise ratio-adaptive convolutionally coded system with optimized constellations designed specifically for a particular set of convolutional code parameters. Numerical results show that significant performance improvements in terms of bit-error-rate and spectral efficiency can be obtained compared to the traditional adaptive modulation and coding systems inlow-latency communications.

---
Source: https://tomesphere.com/paper/1901.03641