With the rise of technologies such as massive mutiple-input multiple-output (MIMO), or large intelligent surface (LIS), we can notice that the 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 the number of antennas increases the interconnection bandwidth and computational complexity required to process the data using centralized architectures become 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, as well as the case where it is not available.
翻译:随着诸如大规模变压多输出(MIMO)或大智能表面(LIS)等技术的上升,我们可以注意到,目前对多antenna结构的研究正在趋向于增加基站(BS)的天线数量,以提高光谱效率。随着天线的数量增加,使用中央结构处理数据所需的互联带宽和计算复杂性变得令人望而却步的高;分散式结构可以通过在数据到达中央处理单位(CPU)之前预先处理数据来减少这些要求。然而,进行分散式处理也给天线端的复杂/互联带宽带来费用,而后者一般被忽略。本文旨在研究权力下放程度与天线端相关的复杂/互联带宽要求之间的相互作用。为了这样做,我们提议了一个中央/分散式结构的总体框架,通过调整某些系统参数来探索上述相互作用,即与CUU(现有权力下放程度)的连接次数,以及每个天线端的多相联带宽度/连接带带带带带带宽也带来费用,因为一般来说,天线端的复杂/相互连接带宽带宽段被忽略。为了在天线内使用新的矩阵,因此,我们在WA的处理中可以使用新的矩阵之下,因此可以使用一个新的矩阵。