The aim of this paper is to address the Demodulation Reference Signal (DMRS) based channel estimation issue in railway tunnel scenarios. Thus, we propose a deterministic model to accurately generate the time-varying channel response. And to investigate the impact of these particular environments on a Cyclic-Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) system, we first explore the pilot patterns proposed in the 5G specification, then we apply a thresholding based channel estimation algorithm to extract the demodulated data symbols. By comparing the Bit Error Rate (BER) and the latency of seven slot configurations at different train speeds, the results allow us to make some recommendations depending on the intended railway application and the required Quality of Service (QoS) level.

本文的目的是解决铁路隧道场景中基于解调参考信号（DMRS）的信道估计问题。因此，我们提出了一个确定性模型来准确生成时变信道响应。为了研究这些特殊环境对循环前缀正交频分复用（CP-OFDM）系统的影响，我们首先探索了5G规范中提出的导频模式，然后应用基于阈值的信道估计算法来提取解调后的数据符号。通过比较误码率（BER）和不同火车速度下的七个时隙配置的延迟，结果使我们能够根据预期的铁路应用和所需的服务质量（QoS）水平提出一些建议。