5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications. Accurate performance evaluation is fundamental to the design of reliable mmWave networks, with accuracy rooted in the fidelity of the channel models. At mmWaves, the model must account for the spatial characteristics of propagation since networks will employ highly directional antennas to counter the much greater pathloss. In this regard, Quasi-Deterministic (QD) models are highly accurate channel models, which characterize the propagation in terms of clusters of multipath components, given by a reflected ray and multiple diffuse components of any given Computer Aided Design (CAD) scenario. This paper introduces a detailed mathematical formulation for QD models at mmWaves, that can be used as a reference for their implementation and development. Moreover, it compares channel instances obtained with an open source NIST QD model implementation against real measurements at 60 GHz, substantiating the accuracy of the model. Results show that, when comparing the proposed model and deterministic rays alone with a measurement campaign, the Kolmogorov-Smirnov (KS) test of the QD model improves by up to 0.537.
翻译:5G和网络以外的5G网络将首次使用移动通信的毫米波(mmWave)频谱。准确的性能评价是设计可靠的毫米波网的基础,精确地根植于频道模型的忠实性。在毫米Waves,模型必须说明传播的空间特征,因为网络将使用高度方向天线来抵消更大的病理损失。在这方面,Quasi-Deterministic(QD)模型是高度精确的信道模型,以多路路段组件组群的传播为特征,以任何特定计算机辅助设计(CAD)设想的反射和多种扩散组件为根据。本文介绍了用于毫米Waves的QD模型的详细数学配方,可以用作其实施和开发的参考。此外,它比较了与开放源NIST QD模型执行相比的频道实例,证实了模型的准确性。结果显示,在将拟议的模型和确定性光谱光线单与0.537测试运动相比时,KolmorovS-Snovs的测试将拟议的模型与0.5S-Stonov的改进模型进行比较。