Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain

Abstract

The high-speed railway (HSR) wireless channel models based on field measurements have poor universality and low modeling accuracy due to the limitations of the experimental methods and the terrain conditions. To overcome this problem, this paper considers the wireless channels in various HSR scenarios (such as tunnels, mountains, viaducts, cuttings and plains) as the research objects and establishes a novel finite-state Markov chain (FSMC) optimization simulation model based on the signal-to-noise ratio (SNR) threshold, the channel states and the state transition probability matrix, by using the nonuniform space division SNR quantization strategy (hereinafter referred to as Strategy 1) and the equal-area space division SNR quantization strategy (hereinafter referred to as Strategy 2). The SNR curves that are obtained via simulation closely fit the experimental results; therefore, the proposed simulation model can accurately characterize the channel state in a variety of HSR scenarios. Furthermore, the simulation results demonstrate that in the tunnel scenario, Strategy 1 realizes a smaller mean square error (MSE) and a higher modeling accuracy than Strategy 2. The MSE values of the two strategies are similar in the plain scenario. Strategy 2 realizes a smaller MSE and a higher modeling accuracy in the mountain, viaduct and cutting scenarios.

Mainline Railway Modeled with 2100 MHz 5G-R Channel Based on Measured Data of Test Line of Loop Railway

“…In [23], a deep learning (DL) method was used to analyzed the spatial-temporal prediction of channel state information (CSI) as well as channel statistical characteristics (CSCs) for the future smart HSR communication network. In [24], the signal-to-noise ratio (SNR) threshold was exploited by authors to established a novel finite-state Markov chain (FSMC) optimization simulation model, by which, the universality and accuracy of channel models can be improved in different HSR scenarios. In [25], the small-scale fading channels of the "Luoyang South-Lintong East" HSR in China were characterized via the finite-state Markov channel (FSMC) modeling.…”

Channel modelling for vehicle‐to‐vehicle MIMO communications in geometrical rectangular tunnel scenarios

“…To develop a more stable and efficient V2V communication system, it is necessary to describe the propagation channel accurately. Characterisation and modelling of radio propagation channels are the basis for mobile and wireless system design [4–8]. Unlike in traditional cellular systems, the antenna height of a communication node in a V2V link is typically lower than that of surrounding buildings and trees.…”