论文标题
将干扰视为无细胞大型MIMO网络中的噪声
Treating Interference as Noise in Cell-Free Massive MIMO Networks
论文作者
论文摘要
如何管理巨大无线设备引入的干扰是在预期的第六代（6G）通信中解决的关键问题。将干扰视为噪声（TIN）最佳条件通常用于干扰管理，因此对现有无线系统引起了重大兴趣。无细胞的大规模多输入多输出（CF MMIMO）是6G中有前途的技术，它通过利用大量访问点（AP）来协作为用户提供服务，从而表现出高系统吞吐量和出色的干扰管理。在本文中，我们从随机几何学的角度研究了在CF MMIMO系统中研究TIN的第一步，通过研究TIN条件与空间分布的网络节点的概率。我们在CF MMIMO系统中提出了一个具有二项式点过程（BPP）和泊松点过程（PPP）近似值的CF MMIMO系统中的新型分析框架。我们得出使用PPP近似以近距离形式保持TIN条件的概率。数值结果验证了我们的派生表达式，并说明了各种系统参数对TIN条件的概率的影响。
How to manage the interference introduced by the enormous wireless devices is a crucial issue to address in the prospective sixth-generation (6G) communications. The treating interference as noise (TIN) optimality conditions are commonly used for interference management and thus attract significant interest in existing wireless systems. Cell-free massive multiple-input multiple-output (CF mMIMO) is a promising technology in 6G that exhibits high system throughput and excellent interference management by exploiting a large number of access points (APs) to serve the users collaboratively. In this paper, we take the first step on studying TIN in CF mMIMO systems from a stochastic geometry perspective by investigating the probability that the TIN conditions hold with spatially distributed network nodes. We propose a novel analytical framework for TIN in a CF mMIMO system with both Binomial Point Process (BPP) and Poisson Point Process (PPP) approximations. We derive the probability that the TIN conditions hold in close form using the PPP approximation. Numerical results validate our derived expressions and illustrate the impact of various system parameters on the probability that the TIN conditions hold.
