论文标题
在合作多细胞大型MIMO中基于协方差的活动检测的缩放法分析
Scaling Law Analysis for Covariance Based Activity Detection in Cooperative Multi-Cell Massive MIMO
论文作者
论文摘要
本文研究了基于协方差的活性检测问题在多细胞大量多输入多输出（MIMO）系统中，其中主动设备将其签名序列传输到多个基站（BSS），而BSS根据接收的信号合作检测了活动设备。在文献中已经对基于协方差的活动检测的缩放定律进行了彻底的分析。本文旨在分析多细胞大型MIMO系统中基于协方差的活动检测的缩放定律。特别是，本文显示了多单元系统中的二次缩放定律，假设经典路径模型中的指数大于2，这表明，在多单元的MIMO系统中，可以在每个单元中正确检测到的最大活性设备数量，并且随着标志序列的长度和偏移的数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量（数量）数量的数量（数量）数量（数量）的数量（数量）的数量（数量）数量（数量）的数量（均为偏差）的数量（均为而言）的数量均为数字的数量，并且是属于数量的数字。本文还表征了多细胞方案中估计误差的分布。
This paper studies the covariance based activity detection problem in a multi-cell massive multiple-input multiple-output (MIMO) system, where the active devices transmit their signature sequences to multiple base stations (BSs), and the BSs cooperatively detect the active devices based on the received signals. The scaling law of covariance based activity detection in the single-cell scenario has been thoroughly analyzed in the literature. This paper aims to analyze the scaling law of covariance based activity detection in the multi-cell massive MIMO system. In particular, this paper shows a quadratic scaling law in the multi-cell system under the assumption that the exponent in the classical path-loss model is greater than 2, which demonstrates that in the multi-cell MIMO system the maximum number of active devices that can be correctly detected in each cell increases quadratically with the length of the signature sequence and decreases logarithmically with the number of cells (as the number of antennas tends to infinity). This paper also characterizes the distribution of the estimation error in the multi-cell scenario.
