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Polynomial expansion of the precoder for power minimization in large-scale MIMO systems

机译:大型MIMO系统功率最小化预编码器的多项式扩展

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摘要

This work focuses on the downlink of a single-cell large-scale MIMO system in which the base station equipped with M antennas serves K single-antenna users. In particular, we are interested in reducing the implementation complexity of the optimal linear precoder (OLP) that minimizes the total power consumption while ensuring target user rates. As most precoding schemes, a major difficulty towards the implementation of OLP is that it requires fast inversions of large matrices at every new channel realizations. To overcome this issue, we aim at designing a linear precoding scheme providing the same performance of OLP but with lower complexity. This is achieved by applying the truncated polynomial expansion (TPE) concept on a per-user basis. To get a further leap in complexity reduction and allow for closed-form expressions of the per-user weighting coefficients, we resort to the asymptotic regime in which M and K grow large with a bounded ratio. Numerical results are used to show that the proposed TPE precoding scheme achieves the same performance of OLP with a significantly lower implementation complexity. © 2016 IEEE.
机译:这项工作侧重于单电池大型MIMO系统的下行链路,其中配备有M天线的基站服务K单天线用户。特别是,我们有兴趣降低最佳线性预编码器(OLP)的实现复杂性,从而最大限度地减少总功耗,同时确保目标用户速率。作为大多数预编码方案,实现OLP的主要困难是它需要在每个新的频道实现中的大矩阵的快速逆转。为了克服这个问题,我们的目标是设计线性预编码方案,提供OLP的相同性能,但具有较低的复杂性。这是通过在每个用户的基础上应用截短的多项式膨胀(TPE)概念来实现的。为了在复杂性降低中进一步跳跃并允许每个用户加权系数的闭合形式表达,我们采取了渐近的状态,其中m和k以有界比增大大。数值结果用于表明所提出的TPE预编码方案实现了OLP的相同性能,具有显着降低的实现复杂性。 ©2016 IEEE。

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