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Proceedings ArticleDOI

Stochastic channel modeling for high-speed railway viaduct scenario at 93.2 GHz

TLDR
Channel characteristics of viaduct tunnel scenario are studied and modeled and the necessary channel information can be practically implemented so that the link level and system level design of the communication system can be supported in similar scenarios.
Abstract
Nowadays, with the rapid development of the highspeed railway, more and more people prefer to using rail traffic for travel or for commuting due to its convenience and flexibility. Railway scenario becomes an important communication scenario in the 5G era. In order to satisfy the increasing demand for higher transmission capabilities, the railway communication system should be designed to support high data rate demands with seamless connectivity. The channel characteristics of viaduct tunnel scenario are studied and modeled in this paper. More channel characteristics are explored by ray-tracing simulations at 93.2 GHz with 2 GHz bandwidth. The critical channel parameters are extracted, supplied, and incorporated into a 3GPP-like random channel generator. The necessary channel information can be practically implemented so that the link level and system level design of the communication system can be supported in similar scenarios.

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Citations
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Journal ArticleDOI

Channel Sounding and Ray Tracing for Intrawagon Scenario at mmWave and Sub-mmWave Bands

TL;DR: The wireless channel in one “smart rail mobility” scenario—the intrawagon scenario—is characterized through ultrawideband (UWB) channel sounding and ray tracing (RT) at mmWave and sub-mmWave bands.
Journal ArticleDOI

Influence Analysis of Typical Objects in Rural Railway Environments at 28 GHz

TL;DR: The analyzed influence of typical objects in rural railway environment to the mmWave propagation channel helps to understand the important influential factors of propagation channel at the object level, but also can be useful in guiding deployment of mmWave communication system.
Journal ArticleDOI

A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments

Abdul Karim Gizzini, +1 more
- 05 Jun 2022 - 
TL;DR: A comprehensive survey on channel estimation techniques based on deep learning by deeply investigating different methods and evaluating the performance of the studied estimators in several mobility scenarios is presented.
Proceedings ArticleDOI

Channel Measurement-based Ray-tracing Analysis for High Speed Railway Scenario at 800MHz

TL;DR: The channel mesurement depend on ray-tracing for HSR can be adjusted with the channel information on the area, and most straightforward way to increase capacity is to add more bandwidth.
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The necessary channel information can be practically implemented so that the link level and system level design of the communication system can be supported in similar scenarios.