论文标题

基于随机几何形状的建模和5G梁管理的分析

Stochastic Geometry-Based Modeling and Analysis of Beam Management in 5G

论文作者

Kalamkar, Sanket S., Abinader Jr., Fuad M., Baccelli, François, Fani, Andrea S. Marcano, Garcia, and Luis G. Uzeda

论文摘要

光束管理是密集的5G蜂窝网络运行的核心。通过增加每个细胞的光束数量来增加辐射到移动端子(MT)的能量增加信号功率并降低干扰,因此具有对面积光谱效率(ASE)的重大提高(ASE)的潜力。但是,这种好处带有不可避免的开销,随着梁的数量和MT速度而增加。本文提出了一个系统级随机几何模型,其中包括梁管理问题的主要方面:频率,天线和传播;物理层,无线链接和编码;网络几何,干扰和资源共享;感应,信号和移动性管理。该模型可为在这种情况下典型用户获得的有效ASE提供简单的分析表达。反过来,这允许人们找到各种5G网络方案,包括毫米波(MMWave)和6 GHz,这是每个单元的光束数量,可在这些好处和成本之间提供最佳的全球权衡。我们最终提供了数值结果,讨论了MMWave和Sud-6 GHz 5G部署的不同系统性权衡和性能的影响。

Beam management is central in the operation of dense 5G cellular networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of beams per cell increases signal power and decreases interference, and has hence the potential to bring major improvements on area spectral efficiency (ASE). This benefit, however, comes with unavoidable overheads that increase with the number of beams and the MT speed. This paper proposes a first system-level stochastic geometry model encompassing major aspects of the beam management problem: frequencies, antennas, and propagation; physical layer, wireless links, and coding; network geometry, interference, and resource sharing; sensing, signaling, and mobility management. This model leads to a simple analytical expression for the effective ASE that the typical user gets in this context. This in turn allows one to find, for a wide variety of 5G network scenarios including millimeter wave (mmWave) and sub-6 GHz, the number of beams per cell that offers the best global trade-off between these benefits and costs. We finally provide numerical results that discuss the effects of different systemic trade-offs and performances of mmWave and sub-6 GHz 5G deployments.

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