5G超密集网络中位置感知波束形成的系统级性能评估

G. Fokin, S. Bachevsky, V. Sevidov
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引用次数: 10

摘要

目前的研究主要集中在第五代无线超密集网络中位置感知波束形成的链路和系统级参数之间的关系。尽管大部分的工作都致力于这个实际的主题,但当无线邻居收发器设备的密度增加时,利用波束成形,我们可以允许它们之间的通信距离有多近,没有任何估计。作为系统级波束形成的先决条件,在链路级对空间分离进行了评估。开发的链路级模型可以使天线阵列单元数和空间分离距离一目了然。实现的系统级模型将站点间距离与SINR作为空间分离联系起来,因此,尽管设备密度增加,但仍证明了空间划分多址能力的潜力。该研究的贡献和科学新颖性在于在链路级建立了半功率波束宽度与空间距离的关系,在系统级建立了信噪比评价,并提出了椭圆作为位置感知波束形成的定位度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System Level Performance Evaluation of Location Aware Beamforming in 5G Ultra-Dense Networks
Current research is devoted to relation of link and system level parameters for location aware beamforming in fifth generation wireless ultra-dense networks. In spite of majority of works, devoted to this actual topic, there are no estimates for how close to each other we can allow communication for wireless neighbor transceiver devices, utilizing beamforming, when their density grows. As a prerequisite for beamforming on the system level spatial separation is evaluated on the link level. Developed link level model allows to relate antenna array elements number and spatial separation distance at first glance. Implemented system level model relates inter-site distance as a spatial separation with SINR and, thus, prove space-division multiple access capabilities potential in spite of increasing device density. The contribution and scientific novelty of research is an establishment of relation between half-power beam width and spatial separation on the link level, SINR evaluation on the system level and suggestion of an ellipse as a measure of positioning for location aware beamforming.
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