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用于毫米波通信的基于3D泊松的邻域容量分析

3D Poisson-Based Neighborhood Capacity Analysis for Millimeter Wave Communications.

作者信息

Comisso Massimiliano, Buttazzoni Giulia, Pastore Stefano, Vatta Francesca, Babich Fulvio

机构信息

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy.

出版信息

Sensors (Basel). 2022 Mar 8;22(6):2098. doi: 10.3390/s22062098.

DOI:10.3390/s22062098
PMID:35336267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8949683/
Abstract

This paper proposes a theoretical model for evaluating the capacity of a millimeter wave (mmWave) source destination link when the nodes are distributed according to a three-dimensional (3D) homogeneous Poisson point process. In the presented analysis, different from the existing approaches, the destination lies in an arbitrary location with respect to the source; thus, the link performance can be evaluated for a neighbor of any order. Moreover, the developed model relies on a realistic propagation environment, characterized by path loss attenuation and shadowing in line of sight (LoS), non-LoS, and outage link state conditions. The derived formulas, which are calculated in closed-form and validated by independent Monte Carlo simulations, are used to investigate the influence of the intensity parameter, of the antenna gain, and of the mmWave frequency band on the link capacity for any possible neighbor in a practical 3D scenario.

摘要

本文提出了一种理论模型,用于评估当节点按照三维(3D)均匀泊松点过程分布时毫米波(mmWave)源-目的地链路的容量。在本分析中,与现有方法不同,目的地相对于源位于任意位置;因此,可以评估任意阶邻居的链路性能。此外,所开发的模型依赖于一个现实的传播环境,其特征在于视距(LoS)、非视距和中断链路状态条件下的路径损耗衰减和阴影。通过独立的蒙特卡罗模拟以封闭形式计算并验证的推导公式,用于研究强度参数、天线增益和毫米波频段对实际3D场景中任何可能邻居的链路容量的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/4fccabd92e32/sensors-22-02098-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/e4682fac2edb/sensors-22-02098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/48812fff0b5b/sensors-22-02098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/80e0f91b2b83/sensors-22-02098-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/ea7671298f06/sensors-22-02098-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/4fccabd92e32/sensors-22-02098-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/e4682fac2edb/sensors-22-02098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/48812fff0b5b/sensors-22-02098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/80e0f91b2b83/sensors-22-02098-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/ea7671298f06/sensors-22-02098-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a420/8949683/4fccabd92e32/sensors-22-02098-g005.jpg

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