多功能移动通信仿真：维也纳5G链路级 模拟器

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摘要翻译：
移动通信系统的研究和开发需要对新技术进行详细的分析和评估，以进一步提高频谱效率、连通性和可靠性。由于对移动宽带数据速率的需求呈指数增长，以及对时延和可靠性的挑战要求，移动通信规范变得越来越复杂，以支持越来越复杂的技术。由于这个原因，分析分析以及基于测量的链路级别方法的研究很快就会遇到可行性限制。因此，计算机辅助数值模拟是研究无线通信标准的重要工具，是分析和开发未来技术所不可缺少的。在这篇文章中，我们介绍了Vienna 5G链路级仿真器，这是一个基于MATLAB的链路级仿真工具，旨在促进5G和超越移动通信的研究和开发。我们的模拟器可以根据4G长期演进、5G新无线电甚至更长时间进行标准兼容设置，使其成为一个非常灵活的模拟工具。根据学术使用许可提供给其他研究人员，它大大提高了无线通信研究的可重复性。我们简要概述了我们的仿真平台，并更详细地介绍了我们链路级仿真器的独特功能，以概述其多功能。
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英文标题：
《Versatile Mobile Communications Simulation: The Vienna 5G Link Level
  Simulator》
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作者：
Stefan Pratschner, Bashar Tahir, Ljiljana Marijanovic, Mariam Mussbah,
  Kiril Kirev, Ronald Nissel, Stefan Schwarz and Markus Rupp
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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：
  Research and development of mobile communications systems require a detailed analysis and evaluation of novel technologies to further enhance spectral efficiency, connectivity and reliability. Due to the exponentially increasing demand of mobile broadband data rates and challenging requirements for latency and reliability, mobile communications specifications become increasingly complex to support ever more sophisticated techniques. For this reason, analytic analysis as well as measurement based investigations of link level methods soon encounter feasibility limitations. Therefore, computer aided numeric simulation is an important tool for investigation of wireless communications standards and is indispensable for analysis and developing future technologies. In this contribution, we introduce the Vienna 5G Link Level Simulator, a Matlab-based link level simulation tool to facilitate research and development of 5G and beyond mobile communications. Our simulator enables standard compliant setups according to 4G Long Term Evolution, 5G new radio and even beyond, making it a very flexible simulation tool. Offered under an academic use license to fellow researchers it considerably enhances reproducibility in wireless communications research. We give a brief overview of our simulation platform and introduce unique features of our link level simulator in more detail to outline its versatile functionality.
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PDF链接：
https://arxiv.org/pdf/1806.03929

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