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Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

机译:MIMO-ZFBF密集Hetnets的覆盖性能,具有多路复用和LOS / NLOS路径损耗衰减

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The performance of multiple-input multiple-output (MIMO) multiplexing heterogenous cellular networks are often analyzed using a single-exponent path-loss model. Thus, the effect of the expected line-of-sight (LOS) propagation in densified settings is unaccounted for, leading to inaccurate performance evaluation and/or inefficient system design. This is due to the complexity of LOSon-LOS models in the context of MIMO communications. We address this issue by developing an analytical framework based on stochastic geometry to evaluate the coverage performance. We focus on the zero-forcing beamforming where the maximum signal-to-interference ratio is used for cell association. We analytically derive the coverage. We then investigate the cross-stream interference correlation, and develop two approximations of the coverage: Alzer Approximation (A-A) and Gamma Approximation (G-A). The former is often used in the single antenna and single-stream MIMO. We extend A-A to a MIMO multiplexing system and evaluate its utility. We show that the inverse interference is well-fitted by a Gamma random variable, where its parameters are directly related to the system parameters. The accuracy and robustness of G-A is higher than that of A-A. We observe that depending on the multiplexing gain, it is possible to attain the best coverage probability by proper densification.
机译:使用单指数路径损耗模型经常分析多输入多输出(MIMO)多路复用的性能。因此,未考虑预期视线(LOS)传播的效果,导致绩效评估和/或效率低下的系统设计。这是由于洛斯/非LOS模型在MIMO通信的背景下的复杂性。通过开发基于随机几何的分析框架来评估覆盖性能来解决此问题。我们专注于零强制波束成形,其中最大信号到干扰比用于小区关联。我们分析了覆盖范围。然后,我们研究了交叉流干扰相关性,并开发了覆盖的两个近似:Alzer近似(A-A)和伽马近似(G-A)。前者通常用于单个天线和单流MIMO。我们将A-A扩展到MIMO复用系统并评估其实用程序。我们表明,逆干扰由伽马随机变量齐全,其参数与系统参数直接相关。 G-A的精度和稳健性高于A-A的精度和稳健性。我们观察到,取决于多路复用增益,可以通过适当的致密化获得最佳覆盖概率。

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