机舱环境5G信道传播模型及信号覆盖研究

doi:10.3969/j.issn.0255-8297.2024.03.005

Abstract

Abstract: In response to challenges encountered in wireless communication within aircraft cabins, including incomplete coverage, slow speeds, and instability, this study presents a 5th generation wireless communication technology (5G) channel model tailored for aircraft cabin scenarios using ray tracing methods. The signal coverage ability and channel parameter characteristics are analyzed. Firstly, we conduct three-dimensional geometric reconstruction of the real cabin scene using triangles to reduce the complexity of obtaining channel parameters by ray tracing. Subsequently, the 5G channel propagation model is constructed by combining the clustering algorithm, then the 5G signal coverage and communication performance inside aircraft cabin are analyzed. Simulation results show that the cluster power offset and the cluster time delay offset follow Gauss distribution, while the cluster azimuth angle of arrival offset and the cluster elevation angle of arrival offset follow Laplace distribution. Moreover, we found that the dense scatterers inside aircraft cabin are the key factors affecting 5G signal coverage. These conclusions can be used in the fields of radio signal coverage prediction and multipath parameter evaluation of 5G base station within aircraft cabin scenarios.

Key words: aircraft cabin scenarios, channel model, ray tracing, signal coverage, clustering algorithm

CLC Number:

TN92

LIU Yuxin, YE Xijuan, BAO Junwei, MA Jian, CHEN Xiaomin, LI Mingsheng, ZHU Qiuming. 5G Channel Propagation Model and Signal Coverage Inside Aircraft Cabin Scenarios[J]. Journal of Applied Sciences, 2024, 42(3): 425-436.

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5G Channel Propagation Model and Signal Coverage Inside Aircraft Cabin Scenarios

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