English

Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications

Information Theory 2019-01-14 v1 Distributed, Parallel, and Cluster Computing Networking and Internet Architecture math.IT

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.

Keywords

Cite

@article{arxiv.1901.03641,
  title  = {Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications},
  author = {Mehmet Cagri Ilter and Halim Yanikomeroglu},
  journal= {arXiv preprint arXiv:1901.03641},
  year   = {2019}
}
R2 v1 2026-06-23T07:09:12.269Z