摘要翻译：
本文介绍了弗吉尼亚理工大学的无线测试平台，支持长期演进(LTE)信令和射频(RF)频谱共存的研究。LTE不断细化，新特性不断发布。随着LTE通信环境的扩展，出现了新的研究问题，包括在恶劣的RF信令环境中的操作以及与其他无线电设备的共存。我们的测试床为调查这些和其他研究问题提供了一个集成的研究工具；它允许分析问题的严重性，设计和快速原型解决方案，并用符合标准的设备和测试程序评估它们。模块化测试床集成了通用软件定义无线电硬件、LTE专用测试设备、射频组件、免费开源和商用LTE软件、可配置的射频网络和记录的雷达波形样本。它支持射频信道仿真和空中辐射模式。可以远程访问和配置测试床。RF交换网络允许设计许多不同的实验，这些实验可以涉及支持多输入多输出(MIMO)天线操作的各种真实和虚拟无线电。我们介绍了测试床，它所支持的研究和我们学到的一些有价值的教训，这些教训可能有助于设计、开发和操作未来的无线测试床。
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英文标题：
《LTE Spectrum Sharing Research Testbed: Integrated Hardware, Software,
  Network and Data》
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作者：
Vuk Marojevic, Randall Nealy, Jeffrey H. Reed
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最新提交年份：
2017
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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：
  This paper presents Virginia Tech's wireless testbed supporting research on long-term evolution (LTE) signaling and radio frequency (RF) spectrum coexistence. LTE is continuously refined and new features released. As the communications contexts for LTE expand, new research problems arise and include operation in harsh RF signaling environments and coexistence with other radios. Our testbed provides an integrated research tool for investigating these and other research problems; it allows analyzing the severity of the problem, designing and rapidly prototyping solutions, and assessing them with standard-compliant equipment and test procedures. The modular testbed integrates general-purpose software-defined radio hardware, LTE-specific test equipment, RF components, free open-source and commercial LTE software, a configurable RF network and recorded radar waveform samples. It supports RF channel emulated and over-the-air radiated modes. The testbed can be remotely accessed and configured. An RF switching network allows for designing many different experiments that can involve a variety of real and virtual radios with support for multiple-input multiple-output (MIMO) antenna operation. We present the testbed, the research it has enabled and some valuable lessons that we learned and that may help designing, developing, and operating future wireless testbeds.
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PDF链接：
https://arxiv.org/pdf/1710.02571