一种估算5g及以上网络中降雨和大气气体射频信号衰减的方法

IF 1.3 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks Pub Date : 2025-02-16 DOI:10.1049/ntw2.70000
Andreza P. Batista, Muhammad S. Ayub, Pablo Adasme, Dante C. Begazo, Muhammad R. Shad, Muhammad Saadi, Renata L. Rosa, Demóstenes Z. Rodríguez
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引用次数: 0

摘要

工业应用需要超可靠和低延迟的通信,特别是在工业物联网(IIoT)环境中。为了满足这些期望,电信网络技术不断发展,全球电信运营商最终部署了第五代(5G)网络。然而,在毫米波频段运行的5G及以上网络可能会受到降雨和大气气体等大气现象造成的信号退化的影响。本文提出了一种利用ITU-R关于雨致衰减的建议(第530页、第837页、第838页、第618-13页、第839-4页、第1511-2页)和利用甘贝尔分布的当地气象数据的方法,对科学研究作出了重大贡献。此外,该方法还考虑到关于大气气体诱导衰减的ITU-R建议书(P.676、P.836、P.835)。一个全面的流程图展示了这些建议的实际应用,能够准确评估世界各地不同地理坐标城市的信号衰减。该数据集来自当地气象站或使用国际电联推荐的数字地图。将所提出方法的降水率近似值与ITU研究组的降水率近似值进行比较,验证了所提出方法的有效性,相对误差不超过1.07%。这些分析表明了大气条件对5G网络性能的潜在影响,为优化网络设计和提高与工业物联网应用相关的通信可靠性提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A methodology for estimating radiofrequency signal attenuation from rainfall and atmospheric gases in 5G-and-beyond networks

A methodology for estimating radiofrequency signal attenuation from rainfall and atmospheric gases in 5G-and-beyond networks

Industrial applications demand ultra-reliable and low latency communications, especially in Industrial Internet of Things (IIoT) environments. To meet these expectations, telecommunication network technologies have evolved, culminating in the deployment of fifth-generation (5G) networks by telecom operators worldwide. However, 5G and beyond networks, operating in millimetre-wave frequency bands, can suffer signal degradation caused by atmospheric phenomena, such as rainfall and atmospheric gases. This article presents a significant contribution to scientific research by proposing a methodology that leverages ITU-R recommendations (P.530, P.837, P.838, P.618-13, P.839-4, P.1511-2) for rain-induced attenuation and incorporates local meteorological data using the Gumbel Distribution. Also, the methodology considers ITU-R Recommendations (P.676, P.836, P.835) for atmospheric gas-induced attenuation. A comprehensive flowchart demonstrates the practical application of these recommendations, enabling accurate assessment of signal attenuation for various cities around the world with distinct geographical coordinates. The dataset is obtained from local Meteorological Stations or using digital maps from ITU recommendations. The results obtained with the approximate values of precipitation rates using the proposed method were compared with values from the ITU's study group and verified the effectiveness of the proposed approach, with relative errors not exceeding 1.07%. These analyses indicated the potential impact of atmospheric conditions on 5G network performance, offering valuable insights for optimising network design and improving communication reliability that is relevant to IIoT applications.

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来源期刊
IET Networks
IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.00
自引率
0.00%
发文量
41
审稿时长
33 weeks
期刊介绍: IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.
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