Traditional link adaptation (LA) schemes in cellular network must be revised for networks beyond the fifth generation (b5G), to guarantee the strict latency and reliability requirements advocated by ultra reliable low latency communications (URLLC). In particular, a poor error rate prediction potentially increases retransmissions, which in turn increase latency and reduce reliability. In this paper, we present an interference prediction method to enhance LA for URLLC. To develop our prediction method, we propose a kernel based probability density estimation algorithm, and provide an in depth analysis of its statistical performance. We also provide a low complxity version, suitable for practical scenarios. The proposed scheme is compared with state-of-the-art LA solutions over fully compliant 3rd generation partnership project (3GPP) calibrated channels, showing the validity of our proposal.

中文翻译：

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超越5G超可靠低延迟通信的低复杂度链路适配的干扰预测

蜂窝网络中的传统链路自适应（LA）方案必须针对第五代（b5G）之后的网络进行修改，以确保超可靠的低延迟通信（URLLC）提倡的严格的延迟和可靠性要求。特别地，差的错误率预测可能会增加重传，进而增加等待时间并降低可靠性。在本文中，我们提出了一种干扰预测方法来增强URLLC的LA。为了发展我们的预测方法，我们提出了一种基于核的概率密度估计算法，并对其统计性能进行了深入分析。我们还提供了低复杂度版本，适用于实际情况。