论文标题
低复杂性分布式XL-MIMO用于多源检测
Low-Complexity Distributed XL-MIMO for Multiuser Detection
论文作者
论文摘要
在本文中，使用随机的kaczmarz算法（RKA）模拟了在拥挤的超大型MIMO（XL-MIMO）方案中运行的零强度和正规化的零式方案。为此，在考虑两种不同的非平稳通道的功率归一化方法时，已经通过可见性区域的概念部署了非平稳属性。我们基于空间非平稳特性的利用来解决RKA的随机性设计。数值结果表明，通常，适用于XL-MIMO系统的基于RKA的组合仪可以通过以少量的性能损失付款来大大降低信号检测器的计算复杂性。
In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA). For that, non-stationary properties have been deployed through the concept of visibility regions when considering two different power normalization methods of non-stationary channels. We address the randomness design of rKA based on the exploitation of spatial non-stationary properties. Numerical results show that, in general, the proposed rKA-based combiner applicable to XL-MIMO systems can considerably decrease computational complexity of the signal detector by paying with small performance losses.
