Reduced complexity decoder for FDD MIMO beamforming systems with large antenna arrays

G. Villardi, K. Ishizu, F. Kojima
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Abstract

It is of great interest to develop larger scale multiple-input-multiple-output (MIMO) technology based on frequency division duplexing (FDD) for backward compatibility with existing standards and already deployed cellular networks. One hindrance to the FDD approach is the codeword search complexity performed by the decoder, which is known to scale with the number of transmit antennas Nt in a system. The codeword search complexity does not scale linearly and soon becomes infeasible even for the moderately large MIMO systems expected in the very near future. We address this problem by proposing a ‘natural sequence based orthogonal codebook’ and an ‘intra-array interference magnitude’ (IIM) framework for decoding in MIMO based on quantized equal gain transmission (QEGT) that altogether tremendously simplifies the codeword search problem despite suffering from only a small sacrifice in performance.
大型天线阵列FDD MIMO波束形成系统的低复杂度解码器
开发基于频分双工(FDD)的大规模多输入多输出(MIMO)技术以向后兼容现有标准和已部署的蜂窝网络是一个非常有意义的问题。FDD方法的一个障碍是解码器执行的码字搜索复杂性,众所周知,它与系统中发射天线的数量Nt成比例。码字搜索复杂度不是线性扩展的,即使在不久的将来,对于中等规模的MIMO系统也不可行。我们通过提出“基于自然序列的正交码本”和基于量化等增益传输(QEGT)的MIMO解码“阵列内干扰量级”(IIM)框架来解决这个问题,这极大地简化了码字搜索问题,尽管性能上只有很小的牺牲。
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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