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6G 无人机辅助紧急通信在复杂山区场景中的信道特性与建模

Channel Characterization and Modeling for 6G UAV-Assisted Emergency Communications in Complicated Mountainous Scenarios.

机构信息

School of Microelectronics, Shandong University, Jinan 250101, China.

The State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China.

出版信息

Sensors (Basel). 2023 May 23;23(11):4998. doi: 10.3390/s23114998.

DOI:10.3390/s23114998
PMID:37299725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10255449/
Abstract

Regarding the new demands and challenges of sixth-generation (6G) mobile communications, wireless networks are undergoing a significant shift from traditional terrestrial networks to space-air-ground-sea-integrated networks. Unmanned aerial vehicle (UAV) communications in complicated mountainous scenarios are typical applications and have practical implications, especially in emergency communications. In this paper, the ray-tracing (RT) method was applied to reconstruct the propagation scenario and then acquire the wireless channel data. Channel measurements are also conducted in real mountainous scenarios for verification. By setting different flight positions, trajectories, and altitudes, channel data in the millimeter wave (mmWave) band was obtained. Important statistical properties, such as the power delay profile (PDP), Rician K-factor, path loss (PL), root mean square (RMS) delay spread (DS), RMS angular spreads (ASs), and channel capacity were compared and analyzed. The effects of different frequency bands on channel characteristics at 3.5 GHz, 4.9 GHz, 28 GHz, and 38 GHz bands in mountainous scenarios were considered. Furthermore, the effects of extreme weather, especially different precipitation, on the channel characteristics were analyzed. The related results can provide fundamental support for the design and performance evaluation of future 6G UAV-assisted sensor networks in complicated mountainous scenarios.

摘要

关于第六代（6G）移动通信的新需求和挑战，无线网络正从传统的地面网络向空天地海一体化网络发生重大转变。复杂山区环境下的无人机（UAV）通信是一种典型的应用，具有实际意义，特别是在应急通信中。在本文中，射线追踪（RT）方法被应用于重建传播场景，然后获取无线信道数据。还在真实的山区场景中进行了信道测量以进行验证。通过设置不同的飞行位置、轨迹和高度，获取了毫米波（mmWave）频段的信道数据。比较和分析了重要的统计特性，如功率延迟分布（PDP）、莱斯 K 因子、路径损耗（PL）、均方根（RMS）延迟扩展（DS）、RMS 角扩展（AS）和信道容量。考虑了在山区场景中 3.5GHz、4.9GHz、28GHz 和 38GHz 等不同频段对信道特性的影响。此外，还分析了极端天气，特别是不同降水对信道特性的影响。相关结果可为未来复杂山区环境下 6G 无人机辅助传感器网络的设计和性能评估提供基础支持。

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