Line-of-Sight Probability in Cluttered Urban Microcells: Analyses Using Poisson Point Process and Point Cloud
Line-of-Sight Probability in Cluttered Urban Microcells: Analyses Using Poisson Point Process and Point Cloud
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DOI：
10.1109/tap.2021.3119116
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发表时间：
2022-03-01
影响因子：
5.7
通讯作者：
Haneda, Katsuyuki
中科院分区：
文献类型：
--
作者：
Koivumaki, Pasi;Molisch, Andreas F.;Haneda, Katsuyuki
视距（LOS）概率是系统级仿真的关键要素，而系统级仿真是为无线系统制定新标准和建议所必需的。特别是对于毫米波系统而言，基站处于高处与地面用户之间保持无遮挡视野，对于确保高吞吐量服务至关重要。虽然已有关于建筑物对视距遮挡的统计模型，但目前缺乏针对树木和路牌等多种小型物体遮挡的此类模型。在本研究中，我们提出了一种基于泊松点过程的解析解决方案，以算法形式呈现，用于在考虑载波频率的情况下，评估存在任意形状阴影物体任意组合时的视距概率。该算法通过与在现实城市微蜂窝场景中通过射线追踪获得的视距概率进行对比验证。
Line-of-sight (LOS) probability is a key component of system-level simulations that are required for creating new standards and recommendations for wireless systems. In particular, for millimeter-wave systems, an unobstructed view between the base station at an elevation and a user at ground level is important to ensure high-throughput service. While statistical models for LOS blockage by buildings exist, such models for blockage by multiple small objects, such as trees and street signs, are currently lacking. In this work, we present a Poisson point process-based analytic solution in a form of an algorithm for evaluating LOS probability in the presence of any combination of arbitrarily shaped shadowing objects, taking into account carrier frequency. The algorithm is validated against the LOS probability obtained from ray tracing in a realistic urban microcell scenario.