التفاصيل البيبلوغرافية
| العنوان: |
Key technologies for wireless network digital twin towards smart railways. |
| المؤلفون: |
Ke Guan, Xinghai Guo, Danping He, Svoboda, Philipp, Berbineau, Marion, Wang, Stephen, Bo Ai, Zhangdui Zhong, Rupp, Markus |
| المصدر: |
High-speed Railway; Mar2024, Vol. 2 Issue 1, p1-10, 10p |
| مصطلحات موضوعية: |
DIGITAL twins, ARTIFICIAL intelligence, JOINT use of railroad facilities, RAILROADS, MATHEMATICAL optimization, INTELLIGENT transportation systems, COGNITIVE radio |
| مستخلص: |
An emerging railway technology called smart railway promises to deliver higher transportation efficiency, enhanced comfort in services, and greater eco-friendliness. The smart railway is expected to integrate fifth-generation mobile communication (5G), Artificial Intelligence (AI), and other technologies, which poses new problems in the construction, operation and maintenance of railway wireless networks. Wireless Digital Twins (DTs), which have recently emerged as a new paradigm for the design of wireless networks, can address these problems and enable the whole lifecycle management of railway wireless networks. However, there are still many scientific issues and challenges for railway-oriented wireless DT. Relevant key technologies to solve these problems are introduced and described, including characterization of materials' physical-EM properties, autonomous reconstruction of Three-dimensional (3D) environment model, AI-empowered environmental cognition, Ray-Tracing (RT), model-based and AIbased RT acceleration, and generation of multi-spectra sensing data. Moreover, this paper presents our research results for each key technology and describes the wireless network planning and optimization system based on highperformance RT developed by our laboratory. This paper outlines the framework for realizing the wireless DT of smart railways, providing the direction for future research. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
