A present challenge in wireless communications is the assurance of ultra-reliable and low-latency communication (URLLC). While the reliability aspect is well known to be improved by channel coding with long codewords, this usually implies using interleavers, which introduce undesirable delay. Using short codewords is a needed change to minimizing the decoding delay. This work proposes the combination of a coding and decoding scheme to be used along with spatial signal processing as a means to provide URLLC over a fading channel. The paper advocates the use of random linear codes (RLCs) over a massive MIMO (mMIMO) channel with standard zero-forcing detection and guessing random additive noise decoding (GRAND). The performance of several schemes is assessed over a mMIMO flat fading channel. The proposed scheme greatly outperforms the equivalent scheme using 5G's polar encoding and decoding for signal-to-noise ratios (SNR) of interest. While the complexity of the polar code is constant at all SNRs, using RLCs with GRAND achieves much faster decoding times for most of the SNR range, further reducing latency.

翻译：当前无线通信面临的核心挑战之一是确保超可靠低延迟通信（URLLC）。尽管通过长码字信道编码可显著提升可靠性，但这通常需要采用交织器，从而引入不可忽视的延迟。采用短码字成为最小化解码延迟的必要变革。本研究提出了一种结合编码与解码方案的通信架构，通过空间信号处理在衰落信道上实现URLLC。本文主张在采用标准迫零检测的大规模MIMO（mMIMO）信道中，使用随机线性码（RLC）与猜测随机加性噪声解码（GRAND）。通过mMIMO平坦衰落信道评估了多种方案的性能。结果表明，在信噪比（SNR）相关区间内，所提方案性能显著优于采用5G极化编码/解码的等效方案。虽然极化码在所有SNR下保持恒定复杂度，但采用RLC与GRAND在大部分SNR范围内实现了更快的解码速度，进一步降低了延迟。