Efficient linear precoding for massive MIMO systems using truncated polynomial expansion
Efficient linear precoding for massive MIMO systems using truncated polynomial expansion
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DOI：
10.1109/sam.2014.6882394
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发表时间：
2014-06
期刊：
影响因子：
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通讯作者：
A. Müller;A. Kammoun;Emil Björnson;M. Debbah
中科院分区：
文献类型：
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作者：
A. Müller;A. Kammoun;Emil Björnson;M. Debbah
已经提出了大量的多输入多输出（MIMO）技术，以满足下一代蜂窝系统的许多要求。正规化的零式（RZF）优先于简单的最大比率传输。在提供可以以方便的并行方式实现的降低且可扩展的计算复杂性时，我们在TPE预编码下提供了信噪比与噪声比率的封闭式表达RZF。随着渠道知识和信噪比的质量而增加。
Massive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively “antenna-efficient” regularized zero-forcing (RZF) is preferred to simple maximum ratio transmission. We develop in this paper a new class of precoders for single-cell massive MIMO systems. It is based on truncated polynomial expansion (TPE) and mimics the advantages of RZF, while offering reduced and scalable computational complexity that can be implemented in a convenient parallel fashion. Using random matrix theory we provide a closed-form expression of the signal-to-interference-and-noise ratio under TPE precoding and compare it to previous works on RZF. Furthermore, the sum rate maximizing polynomial coefficients in TPE precoding are calculated. By simulation, we find that to maintain a fixed peruser rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and signal-to-noise ratio.