ICD reciprocity calibration for distributed large-scale MIMO systems with BD precoding

Hao Wei, Dongming Wang, X. You
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引用次数: 3

Abstract

Time division duplexing (TDD) operation is usually used for distributed large-scale multiple-input multiple-output (MIMO) systems to perform the downlink precoding by the uplink channel estimation due to the channel reciprocity. However, the channel reciprocity is often disabled by the non-symmetric transceiver radio frequency (RF) circuits at both sides of the link. This paper is focused on the reciprocity calibration for the distributed large-scale MIMO systems where both access points (APs) and user equipments (UEs) have multiple antennas. Theoretical analysis show that RF mismatches at the UEs still bring the inter-stream interference (ISI) and lead to a significant performance loss, although with the perfect partial calibration. Then, to avoid eigenvalue decomposition (EVD) operation of the total least squares (TLS) method, an iterative algorithm named as iterative coordinate descent (ICD) method is proposed to perform the full calibration, which significantly reduces the complexity and essentially achieves the performance of the TLS method.
基于BD预编码的分布式大规模MIMO系统的ICD互易校准
时分双工(TDD)操作通常用于分布式大规模多输入多输出(MIMO)系统,由于信道互易性,通过上行信道估计进行下行预编码。然而,信道互易性经常被链路两侧的非对称收发器射频(RF)电路禁用。本文研究了分布式大规模MIMO系统中接入点(ap)和用户设备(ue)均具有多天线的互易校准问题。理论分析表明,尽管具有完美的部分校准,但终端处的射频失配仍然会带来流间干扰(ISI)并导致显著的性能损失。然后,为了避免总最小二乘(TLS)方法的特征值分解(EVD)操作,提出了迭代坐标下降(ICD)方法进行全标定,大大降低了复杂度,基本达到了TLS方法的性能。
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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