论文标题

5G中的光束管理:随机几何分析

Beam Management in 5G: A Stochastic Geometry Analysis

论文作者

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

论文摘要

光束管理是光束形成的无线蜂窝系统(例如5G新无线电(NR)网络)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。本文提出了一个系统级随机几何模型,其中包含光束管理问题的主要方面:频率,天线构型和传播;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率提供简单的分析表达。反过来,对于包括毫米毫米波(MMWave)和Sub-6 GHz在内的多种5G网络方案,可以通过提供横梁形成和梁管理操作开销和成本之间的最大权衡,从而找到每个单元的光束数量和每个MT的梁数,并通过提供束成式的收益和梁管理操作开销和成本之间的最大权衡,从而找到有效的ASE。作为系统级分析的一部分,我们定义和分析了一些具有独立感兴趣的新的新基本性能指标。数值结果讨论了MMWave和Sud-6 GHz 5G部署的不同全身折衷和性能优化的影响。

Beam management is central in the operation of beamformed wireless cellular systems such as 5G New Radio (NR) 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 paper proposes a first system-level stochastic geometry model encompassing major aspects of the beam management problem: frequencies, antenna configurations, 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 rate that the typical user gets in this context. This in turn allows one to find the number of beams per cell and per MT that maximizes the effective ASE by offering the best tradeoff between beamforming gains and beam management operational overheads and costs, for a wide variety of 5G network scenarios including millimeter wave (mmWave) and sub-6 GHz. As part of the system-level analysis, we define and analyze several underlying new and fundamental performance metrics that are of independent interest. The numerical results discuss the effects of different systemic tradeoffs and performance optimizations of mmWave and sub-6 GHz 5G deployments.

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