Recursive method for the equivalent baseband channel for hybrid beamforming in massive MU-MIMO mmWave systems

A. Ortega, R. Neto, R. David
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Abstract

Communications using the millimeter wave (mmWave) spectrum are a mainstream technology of the next generation systems due to its huge available bandwidth. However, the mmWave band will experience much more propagation loss than a low-frequency band. Conventional precoding techniques are impractical at mmWave scenarios due to manufacturing costs and power consumption. Hybrid beamforming, which combines large dimensional analog processing with lower-dimensional digital processing, is the most promising approach for reducing the hardware cost in massive mmWave MU-MIMO systems. The digital processing part can be designed from traditional MIMO methods, however, the analog processing part has to be carefully selected to produce a workable equivalent baseband channel. In this paper, we propose three hybrid processing designs based on MMSE, whose difference relies on their analog part. The considered strategies for designing the analog part are through singular value decomposition, an iterative method, and a recursive algorithm, where the last one highlights due to its robustness. Numerical results in terms of BER evidence that the proposed recursive algorithm reaches the best performance regardless of the scenarios and data detectors.
大规模MU-MIMO毫米波系统混合波束形成等效基带信道的递归方法
利用毫米波(mmWave)频谱的通信由于其巨大的可用带宽而成为下一代系统的主流技术。然而,毫米波频段将比低频频段经历更多的传播损耗。由于制造成本和功耗,传统的预编码技术在毫米波场景下是不切实际的。混合波束形成将大维模拟处理与低维数字处理相结合,是降低大规模毫米波MU-MIMO系统硬件成本的最有前途的方法。数字处理部分可以根据传统的MIMO方法进行设计,但是必须仔细选择模拟处理部分以产生可行的等效基带信道。本文提出了三种基于MMSE的混合处理设计,它们的区别取决于它们的模拟部分。设计模拟部分的考虑策略是通过奇异值分解,迭代方法和递归算法,其中递归算法因其鲁棒性而突出。在误码率方面的数值结果表明,无论在何种场景和数据检测器下,所提出的递归算法都能达到最佳性能。
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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