A Massive MIMO Signal Processing Architecture for GHz to THz Frequencies

A. Batra, M. Wiemeler, T. Kreul, D. Goehringer, T. Kaiser
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引用次数: 3

Abstract

State-of-the-art wireless technology is reaching its technical limits and future technologies such as millimeter wave (mmWave), massive MIMO and full duplex transmission included in upcoming 5G standards will be key in fulfilling demands for higher data rate and spectrum efficiency. Massive MIMO systems operating in the mmWave spectrum have many advantages in terms of e.g. beamforming and channel capacity, not only for communication systems but also for radar systems. Therefore, an experimental real time massive MIMO testbed utilizing sub-6GHz and the mmWave spectrum is to be constructed at Institute of Digital Signal Processing (DSV), University of Duisburg-Essen, Germany to investigate this technology in a practical manner for indoor radar system applications. The proposed testbed will initially be implemented for sub-6GHz frequencies with more than hundred antennas and later extended to the mmWave region. Obviously, the testbed design is very complex and a detailed design study is required before implementation. This paper summarizes findings of the design study. Firstly, a theoretical model of a signal processing architecture for a massive MIMO testbed is presented. This is followed by requirements and comparison of parameters processing power, bandwidth, data throughput etc. for sub-6GHz and mmWave spectrum. Also, mapping of algorithms on heterogeneous computational resources, such as FPGA, GPU and CPU is discussed. Based on the study, parameters for the proposed testbed are selected.
一种用于GHz到THz频率的大规模MIMO信号处理架构
最先进的无线技术正在达到其技术极限,即将推出的5G标准中包含的毫米波(mmWave)、大规模MIMO和全双工传输等未来技术将成为满足更高数据速率和频谱效率需求的关键。在毫米波频谱中运行的大规模MIMO系统在波束形成和信道容量方面具有许多优势,不仅适用于通信系统,也适用于雷达系统。因此,将在德国杜伊斯堡-埃森大学数字信号处理研究所(DSV)建立一个利用sub-6GHz和毫米波频谱的实验性实时大规模MIMO试验台,以实际的方式研究该技术在室内雷达系统中的应用。拟议的测试平台最初将用于6ghz以下频率,拥有100多个天线,随后将扩展到毫米波区域。显然,试验台的设计非常复杂,在实现之前需要进行详细的设计研究。本文总结了设计研究的结果。首先,提出了大规模MIMO试验台信号处理体系结构的理论模型。其次是6ghz以下和毫米波频谱的参数处理能力、带宽、数据吞吐量等的要求和比较。讨论了算法在FPGA、GPU和CPU等异构计算资源上的映射问题。在此基础上,选定了试验台的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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