Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation

Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation
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毫米波的准确定性信道模型:数学形式化和验证

DOI:
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发表时间:
2020
期刊:
Global Communications Conference
影响因子:
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通讯作者:
M. Zorzi
M. Zorzi
中科院分区:
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文献类型:
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作者:
Mattia Lecci;Michele Polese;Chiehping Lai;Jian Wang;C. Gentile;N. Golmie;M. Zorzi

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5G及以后的网络将首次使用毫米波(mmWave)频谱进行移动的通信。准确的性能评估是设计可靠的毫米波网络的基础,其准确性取决于信道模型的保真度。在毫米波中,模型必须考虑传播的空间特性,因为网络将采用高度定向的天线来抵消更大的路径损耗。在这方面,准确定性(QD)模型是高度精确的信道模型,其根据由任何给定计算机辅助设计(CAD)场景的反射射线和多个漫射分量给出的多径分量的集群来表征传播。本文介绍了毫米波QD模型的详细数学公式,可作为其实施和开发的参考。此外,它比较了通道实例获得的开源国家标准与技术研究所(NIST)QD模型实现对真实的测量在60 GHz,证实了模型的准确性。结果表明,当比较所提出的模型和确定性射线单独与测量活动,QD模型的Kolmogorov-Smirnov(KS)检验提高了0.537。
5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications. Accurate performance evaluation is fundamental for 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 National Institute of Standards and Technology (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.
DOI: 10.1109/comst.2018.2828880
发表时间: 2018-01-01
影响因子: 35.6
作者:
Mezzavilla, Marco;Zhang, Menglei;Zorzi, Michele
通讯作者: Zorzi, Michele