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首页> 外文会议>2013 Information Theory and Applications Workshop >Hardware-impairment compensation for enabling distributed large-scale MIMO
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Hardware-impairment compensation for enabling distributed large-scale MIMO

机译：硬件损害补偿，用于实现分布式大规模MIMO

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摘要

Distributed large-scale MIMO is a promising option for coping with the projected explosion in mobile traffic. It involves multiple Access Points (APs) that are connected to a central server via wired backhaul and act as a distributed MIMO transmitter, serving multiple users via spatial precoding. As is well known, large downlink (DL) spectral efficiencies can be achieved with TDD operation, pilots sent in the uplink (UL), and DL-UL channel reciprocity. With APs made of inexpensive hardware and connected via, e.g., Ethernet, synchronization and reciprocity calibration are the main hurdle for implementing a truly distributed MU-MIMO system. This work studies mechanisms for RF calibration that can enable distributed high-performing large-scale MIMO operation. We propose methods for relative calibration of the APs in order to ensure TDD reciprocity while not relying on an explicitly self-calibrating RF design. As our analysis and simulations suggest, the proposed methods significantly outperform existing self calibration methods without requiring additional signaling overhead and can enable TDD reciprocity for calibration of non-colocated networks.
机译：分布式大规模MIMO是应对移动流量预计爆炸的有前途的选择。它涉及多个接入点（AP），这些接入点通过有线回程连接到中央服务器，并充当分布式MIMO发射机，通过空间预编码为多个用户提供服务。众所周知，利用TDD操作，在上行链路（UL）中发送的导频和DL-UL信道互易性，可以实现较大的下行链路（DL）频谱效率。对于由廉价硬件制成并且通过例如以太网连接的AP，同步和互易性校准是实现真正的分布式MU-MIMO系统的主要障碍。这项工作研究了可以实现分布式高性能大规模MIMO操作的RF校准机制。我们提出了用于AP相对校准的方法，以确保TDD互易性，同时又不依赖于明确的自校准RF设计。正如我们的分析和仿真所表明的那样，所提出的方法在性能上优于现有的自校准方法，而无需额外的信令开销，并且可以实现TDD互易性，以用于非集中式网络的校准。

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