电信科学 ›› 2021, Vol. 37 ›› Issue (10): 102-116.doi: 10.11959/j.issn.1000-0801.2021243
何睿斯1, 艾渤1, 钟章队1, 杨汨1, 黄晨1, 马张枫1, 孙桂琪1, 米航1, 周承毅1, 陈瑞凤2
修回日期:
2021-10-15
出版日期:
2021-10-20
发布日期:
2021-10-01
作者简介:
何睿斯(1987− ),男,博士,北京交通大学轨道交通控制与安全国家重点实验室教授,主要研究方向为无线传播信道、铁路通信、5G和6G通信基金资助:
Ruisi HE1, Bo AI1, Zhangdui ZHONG1, Mi YANG1, Chen HUANG1, Zhangfeng MA1, Guiqi Sun1, Hang MI1, Chengyi ZHOU1, Ruifeng CHEN2
Revised:
2021-10-15
Online:
2021-10-20
Published:
2021-10-01
Supported by:
摘要:
城市轨道交通是现代化交通基础设施的重要组成部分,5G作为新一代移动通信技术,可提供高速率、低时延的无线数据传输,有助于提升城市轨道交通的运行效率和服务质量。由于城市轨道交通场景的复杂性,需要针对性的通信场景分类、信道特性分析和精准的信道模型为城市轨道交通5G通信系统的设计提供理论支撑。基于此,提出了5G城市轨道交通电波传播场景的分类,以支撑典型场景下的信道测试与建模工作,同时阐述了城市轨道交通场景信道测量和建模的现状,并分析了当前面临的主要挑战。结合5G通信智能化特点,讨论了人工智能在信道特征提取和信道建模方面的应用前景与可行思路,并深入分析了基于可重构智能面和无人飞行器辅助的5G城市轨道交通信道建模研究现状和发展前景。最后,阐述了毫米波频段下5G城市轨道交通信道建模的研究。
中图分类号:
何睿斯, 艾渤, 钟章队, 杨汨, 黄晨, 马张枫, 孙桂琪, 米航, 周承毅, 陈瑞凤. 5G城市轨道交通场景分类及信道建模[J]. 电信科学, 2021, 37(10): 102-116.
Ruisi HE, Bo AI, Zhangdui ZHONG, Mi YANG, Chen HUANG, Zhangfeng MA, Guiqi Sun, Hang MI, Chengyi ZHOU, Ruifeng CHEN. 5G urban rail traffic scenario classification and channel modeling[J]. Telecommunications Science, 2021, 37(10): 102-116.
表1
5G城市轨道交通通信场景分类"
场景种类 | 列车移动性 | 场景封闭性 | 信道多径密集程度 | 用户密度 | LOS/NLOS | 覆盖形式 |
高架桥-城区混合场景 | 高 | 开放 | 中等 | 中等 | LOS | 室外带状覆盖 |
路堑-城区混合场景 | 高 | 半封闭 | 高 | 中等 | LOS/NLOS | 室外带状覆盖 |
隧道场景 | 高 | 封闭 | 极高 | 中等 | LOS/NLOS | 封闭空间带状覆盖 |
地上车站场景 | 低 | 半封闭 | 高 | 高 | LOS/NLOS | 半封闭空间面状覆盖 |
地下车站场景 | 低 | 封闭 | 高 | 高 | LOS/NLOS | 封闭空间面状覆盖 |
地表城区场景 | 高 | 开放 | 中等 | 中等 | LOS/NLOS | 室外带状覆盖 |
空-地通信场景 | 高 | 开放 | 低 | 中等 | LOS | 室外带状覆盖 |
列车-列车场景 | 高 | 开放/封闭 | 中等/高/极高 | 中等 | LOS/NLOS | 室外带状覆盖 |
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