摘要翻译：
5G无线通信系统在毫米波频率上采用Massive-MIMO，其性能很可能仅在空中(OTA)设置中测量。提出了在富各向同性多径(RIMP)和随机视距（Random-LOS）两种极限环境中进行OTA测量，而不是在一个典型或代表性信道中进行OTA测量。本文研究了500 MHz-100 GHz频段散射对信号衰落统计量的频率依赖性的影响。利用随机分布的共振散射体，建立了一般散射环境的简单模型，研究了散射环境的大小、散射体密度和散射体数目对信号变异性的影响，并用Rician k因子作为频率的函数。用矩量法(MoM)对简化模型进行了全波仿真验证。
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英文标题：
《Back-of-the-envelope evaluation of the prevalence of RIMP or LOS
  propagation as a function of frequency》
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作者：
Aidin Razavi, Andr\'es Alay\'on Glazunov, Rob Maaskant, Jian Yang
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  The performance of 5G wireless communication systems, employing Massive-MIMO at millimeter-wave frequencies, is most likely measured only in Over-The-Air (OTA) setups. It is proposed to perform OTA measurements in two limiting environments of Rich Isotropic MultiPath (RIMP) and Random Line-of-Sight (Random-LOS) instead of a typical or representative channel. In the present paper, we present a back-of-the envelope investigation of the impact of scattering on the frequency dependence of the signal fading statistics in the 500 MHz-100 GHz band. We introduce a simple model for a generic scattering environment by using randomly distributed resonant scatterers to investigate the impact of the size of the scattering environment, the scatterer density, and the number of scatterers on the signal variability in terms of the Rician K-factor as a function of frequency. The simplified model is also verified against full-wave simulation using the Method of Moments (MoM).
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PDF链接：
https://arxiv.org/pdf/1804.04744