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Massive MIMO real-time channel measurements and theoretic TDD downlink throughput predictions

机译：大规模MIMO实时信道测量和理论TDD下行链路吞吐量预测

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This paper is the first to evaluate the realistic performance of Massive MIMO using real-time channel measurements conducted at 3.51GHz. Our testbed consists of 64 National Instruments Universal Software Radio Peripheral Reconfigurable Input and Output (NI USRP RIO) software defined radios (SDRs) with 128 dipole antennas at the Base Station (BS) side, and 6 USRPs configured as 12 single-antenna User Equipment (UE) nodes. The system operates in a Time Division Duplex (TDD) fashion with a Long Term Evolution (LTE) like Physical Layer framework which, when fully deployed, will enable instantaneous throughput measurements on the Uplink (UL) and Downlink (DL) according to a user-defined frame schedule. In this paper we present real-time UL channel measurements at all BS antenna ports simultaneously, which allows the temporal characteristics of the Massive MIMO channel to be recorded. Eigen-beamforming precoding and a Received Bit-level Mutual Information Rate (RBIR) abstraction simulator are then used to predict the theoretic DL performance. We quantify the co-located Massive MIMO throughput for differing numbers of BS antennas (i.e. 32, 64 and 112 elements) and UE locations for an indoor environment.
机译：本文是第一篇使用在3.51GHz下进行的实时信道测量来评估Massive MIMO的实际性能的文章。我们的测试平台包括64个National Instruments通用软件无线电外围设备可重配置输入和输出（NI USRP RIO）软件定义无线电（SDR），在基站（BS）侧具有128个偶极天线，以及6个USRP配置为12个单天线用户设备（UE）节点。该系统以时分双工（TDD）的方式运行，并具有类似于物理层框架的长期演进（LTE），当完全部署后，将根据用户的需要在上行链路（UL）和下行链路（DL）上进行瞬时吞吐量测量定义的帧时间表。在本文中，我们同时介绍了所有BS天线端口上的实时UL信道测量值，从而可以记录Massive MIMO信道的时间特性。特征波束形成预编码和接收比特级互信息速率（RBIR）抽象模拟器然后用于预测理论DL性能。我们针对室内环境的不同数量的BS天线（即32、64和112个元素）和UE位置，对位于同一地点的Massive MIMO吞吐量进行量化。

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