5G Channel Models for Railway Use Cases at mmWave Band and the Path Towards Terahertz

Autor:	Zhangdui Zhong, Juan Manuel Moreno, Thomas Kurner, Bile Peng, Danping He, Andrej Hrovat, Ke Guan, Bo Ai, Cesar Briso-Rodriguez
Rok vydání:	2021
Předmět:	Mathematical model business.industry Computer science Terahertz radiation Mechanical Engineering Bandwidth (signal processing) Computer Science Applications Automotive Engineering Extremely high frequency Electronic engineering Use case Train Mobile telephony business 5G
Zdroj:	IEEE Intelligent Transportation Systems Magazine. 13:146-155
ISSN:	1941-1197 1939-1390
Popis:	High-speed trains are one of the most relevant scenarios for the fifth-generation (5G) mobile communications and the “smart rail mobility” vision, where a high-data-rate wireless connectivity with up to several GHz bandwidths will be required. This is a strong motivation for the exploration of millimeter wave (mmWave) band. In this article, we identify the main challenges and make progress towards realistic 5G mmWave channel models for railway use cases. In order to cope with the challenge of including the railway features in the channel models, we define reference scenarios to help the parameterization of channel models for railway use at mmWave band. Simulations and the subsequent measurements used to validate the model reflect the detailed influence of railway objects and the accuracy of the simulations. Finally, we point out the future directions towards the full version of the smart rail mobility which will be powered by terahertz (THz) communications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e2386a64abb0478cbf7f10f89bf2b8a9 https://doi.org/10.1109/mits.2019.2926371 Zobrazit plný text záznamu