The strict latency and reliability requirements of ultra-reliable low-latency communications (URLLC) use cases are among the main drivers in fifth generation (5G) network design. Link adaptation (LA) is considered to be one of the bottlenecks to realize URLLC. In this paper, we focus on predicting the signal to interference plus noise ratio at the user to enhance the LA. Motivated by the fact that most of the URLLC use cases with most extreme latency and reliability requirements are characterized by semi-deterministic traffic, we propose to exploit the time correlation of the interference to compute useful statistics needed to predict the interference power in the next transmission. This prediction is exploited in the LA context to maximize the spectral efficiency while guaranteeing reliability at an arbitrary level. Numerical results are compared with state of the art interference prediction techniques for LA. We show that exploiting time correlation of the interference is an important enabler of URLLC.

中文翻译：

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超可靠低时延通信链路自适应干扰分布预测

超可靠低延迟通信 (URLLC) 用例的严格延迟和可靠性要求是第五代 (5G) 网络设计的主要驱动因素之一。链路自适应（LA）被认为是实现 URLLC 的瓶颈之一。在本文中，我们专注于预测用户处的信干噪比以增强 LA。由于大多数具有最极端延迟和可靠性要求的 URLLC 用例都以半确定性流量为特征，因此我们建议利用干扰的时间相关性来计算预测下一次传输中的干扰功率所需的有用统计数据. 在 LA 环境中利用这种预测来最大化频谱效率，同时保证任意级别的可靠性。将数值结果与最先进的 LA 干扰预测技术进行比较。我们表明，利用干扰的时间相关性是 URLLC 的重要促成因素。