论文标题
准分子化的大型MIMO中的权衡取舍
Trade-offs In Quasi-Decentralized Massive MIMO
论文作者
论文摘要
典型的大规模多输入多输出（MIMO）体系结构考虑了一种集中式方法，其中每个天线收到的所有基带数据都必须发送到要处理的中央处理单元（CPU）。由于大型MIMO基站（BSS）预期的天线量大量，因此与集中式大型MIMO所需的CPU连接数不可扩展。在最近的文献中，已经提出了分散的方法，以减少天线与CPU之间的连接数量。但是，与CPU的连接减少需要每个天线产生更多的输出。我们研究了与CPU的连接数量与每个天线输出数量之间的权衡。我们提出了一个通用的体系结构，可以利用这种权衡，并定义了一种新颖的矩阵分解，该分解允许在我们提出的架构中无损线性均衡。
Typical massive multiple-input multiple-output (MIMO) architectures consider a centralized approach, in which all baseband data received by each antenna has to be sent to a central processing unit (CPU) to be processed. Due to the enormous amount of antennas expected in massive MIMO base stations (BSs), the number of connections to the CPU required in centralized massive MIMO is not scalable. In recent literature decentralized approaches have been proposed to reduce the number of connections between the antennas and the CPU. However, the reduction in the connections to the CPU requires more outputs per antenna to be generated. We study the trade-off between number of connections to the CPU and number of outputs per antenna. We propose a generalized architecture that allows exploitation of this trade-off, and we define a novel matrix decomposition that allows lossless linear equalization within our proposed architecture.
