5G mmWave共存的上行干扰抑制技术 在位用户为70和80 GHz

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摘要翻译：
71-76GHz(70GHz)和81-86GHz(80GHz)的毫米波频谱有可能赋予第五代新无线电(5G-NR)千兆速率的移动连接。然而，一个紧迫的问题是这些频带中存在现有系统，这些系统主要是点对点固定站(FSs)。在本文中，我们首先通过解析主要城市中现有台站的数据库来识别在任台站的关键属性，设计几个建模指南，并描述它们的部署几何形状和天线规格。其次，我们开发了一个详细的上行链路干扰框架，将来自室外5G-NR用户的总干扰计算到FSS中。然后，我们使用实际的现有数据库和构建布局，在人口稠密的地区展示了几个案例研究。我们的仿真结果表明，由于在70GHz和80GHz频段的传播损耗以及现有和5G系统的部署几何结构，大多数FSs经历的干扰远低于噪声本底，因此在70GHz和80GHz频段的5G共存是有希望的。对于少数可能引起较高干扰的FSs,我们提出了几种无源干扰抑制技术，如基于角度的禁区和空间功率控制。仿真结果表明，该技术在不影响5G覆盖的情况下，能够有效地保护FSs。
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英文标题：
《Uplink Interference Mitigation Techniques for Coexistence of 5G mmWave
  Users with Incumbents at 70 and 80 GHz》
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作者：
Ghaith Hattab, Eugene Visotsky, Mark Cudak, and Amitava Ghosh
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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 millimeter wave spectra at 71-76GHz (70GHz) and 81-86GHz (80GHz) have the potential to endow fifth-generation new radio (5G-NR) with mobile connectivity at gigabit rates. However, a pressing issue is the presence of incumbent systems in these bands, which are primarily point-to-point fixed stations (FSs). In this paper, we first identify the key properties of incumbents by parsing databases of existing stations in major cities to devise several modeling guidelines and characterize their deployment geometry and antenna specifications. Second, we develop a detailed uplink interference framework to compute the aggregate interference from outdoor 5G-NR users into FSs. We then present several case studies in dense populated areas, using actual incumbent databases and building layouts. Our simulation results demonstrate promising 5G coexistence at 70GHz and 80GHz as the majority of FSs experience interference well below the noise floor thanks to the propagation losses in these bands and the deployment geometry of the incumbent and 5G systems. For the few FSs that may incur higher interference, we propose several passive interference mitigation techniques such as angular-based exclusion zones and spatial power control. Simulation results show that the techniques can effectively protect FSs, without tangible degradation of the 5G coverage.
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PDF链接：
https://arxiv.org/pdf/1801.05405

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关键词：wave WAV AVE Applications Optimization 人口稠密 70GHz 现有 共存