分布式多天线架构中的权衡：WAX分解
Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
AI总结：
针对集中式多天线架构互联带宽与计算复杂度过高的问题，提出含WAX分解的通用框架，研究分布式程度与天线端复杂度/带宽的权衡及运行极限。
摘要：
当前多天线架构的研究趋势是在基站（BS）中增加天线数量以提升频谱效率。这导致采用集中式架构处理数据所需的互联带宽和计算复杂度高得令人难以承受。分布式架构可通过在数据抵达中央处理单元（CPU）前进行预处理来降低这些需求。然而，执行分布式处理也会在天线端带来复杂度/互联带宽方面的成本，这一点通常被忽略。本文旨在研究分布式程度与天线端相关复杂度/互联带宽需求之间的相互作用。为此，我们提出了一个适用于集中式/分布式架构的通用框架，可通过调整若干系统参数来探究上述相互作用，即与CPU的连接数（分布式程度）、每根天线的乘法次数/输出数（复杂度/互联带宽）。我们定义了一种新型矩阵分解——WAX分解，可在我们提出的框架内实现无信息损失处理，并利用它得出所研究相互作用的运行极限。我们还探讨了WAX分解的部分局限性。
英文摘要：
Current research on multi-antenna architectures is trending towards increasing the amount of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result, the interconnection bandwidth and computational complexity required to process the data using centralized architectures is becoming prohibitively high. Decentralized architectures can reduce these requirements by pre-processing the data before it arrives at a central processing unit (CPU). However, performing decentralized processing introduces also cost in complexity/interconnection bandwidth at the antenna end which is in general being ignored. This paper aims at studying the interplay between level of decentralization and the associated complexity/interconnection bandwidth requirement at the antenna end. To do so, we propose a general framework for centralized/decentralized architectures that can explore said interplay by adjusting some system parameters, namely the number of connections to the CPU (level of decentralization), and the number of multiplications/outputs per antenna (complexity/interconnection bandwidth). We define a novel matrix decomposition, the WAX decomposition, that allows information-lossless processing within our proposed framework, and we use it to obtain the operational limits of the interplay under study. We also look into some of the limitations of the WAX decomposition.
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