无小区大规模MIMO系统的覆盖概率

Anastasios K. Papazafeiropoulos, P. Kourtessis, M. Renzo, S. Chatzinotas, J. Senior
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引用次数: 2

摘要

尽管目前和未来的网络变得越来越密集和不规则,但在无蜂窝(CF)大规模多输入多输出(mMIMO)系统领域的先前工作依赖于均匀分布接入点(ap)的强假设。实际上,这种随机性只是在模拟过程中才被考虑到,而不是在分析中。因此,本文的方向是在泊松点过程(PPP)方面应用和研究一个更现实的ap空间随机性模型。具体来说,我们利用随机几何和确定性等效工具推导了CF mMIMO系统的下行覆盖概率。值得注意的是,它是唯一一个为CF mMIMO系统导出CP的工作。在结果中,我们强调了CF mMIMO系统对小细胞(SCs)的优异性能,由于通道硬化,有利的传播和干扰抑制,小细胞(SCs)随着ap密度的增加而增加。此外,我们观察到高AP密度下CP的饱和。
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Coverage Probability of Cell-Free Massive MIMO Systems
Despite that ongoing and future networks become denser and increasingly irregular, prior works in the area of cell-free (CF) massive multiple-input-multiple-output (mMIMO) systems relied on the strong assumption of uniformly distributed access points (APs). Actually, this randomness was accounted for only during the simulation and not in the analysis. Consequently, the direction of this paper is towards the application and investigation of a more realistic model for the spatial randomness of the APs in terms of a Poisson point process (PPP). Specifically, we derive the downlink coverage probability (CP) of CF mMIMO systems by means of stochastic geometry and deterministic equivalent tools. Notably, it is the only work having derived the CP for CF mMIMO systems. Among the results, we highlight the outperformance of CF mMIMO systems against small cells (SCs), which increases with the density of the APs due to channel hardening, favorable propagation, and interference suppression. Moreover, we observe the saturation of the CP at high AP density.
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