论文标题
通过随机线性代码和宏伟
URLLC with Coded Massive MIMO via Random Linear Codes and GRAND
论文作者
论文摘要
无线通信中的当前挑战是保证超级可靠和低延节通信（URLLC）。众所周知，可靠性方面可以通过使用长密码字来改善通道编码，但这通常意味着使用交换器，这会引入不良的延迟。使用简短的代码字是最大程度地减少解码延迟的所需更改。这项工作提出了将编码和解码方案与空间信号处理一起使用的组合，作为在褪色通道上提供URLLC的一种手段。本文主张在大规模的MIMO（MMIMO）通道上使用随机线性代码（RLC），并具有标准的零孔检测和猜测随机的加性噪声解码（GARN）。通过MMIMO平面褪色通道评估了几个方案的性能。提出的方案大大优于使用5G的极性编码和对信噪比（SNR）的相同方案。尽管极地代码的复杂性在所有SNR上都是恒定的，但使用具有GRANT的RLC在大多数SNR范围内实现了更快的解码时间，从而进一步降低了延迟。
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.
