Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain
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 scenari...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9088971/ |
| _version_ | 1818663858066161664 |
|---|---|
| author | Jianli Xie Cuiran Li Wenbo Zhang Ling Liu |
| author_facet | Jianli Xie Cuiran Li Wenbo Zhang Ling Liu |
| author_sort | Jianli Xie |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T05:23:31Z |
| format | Article |
| id | doaj.art-0736ee72566c4a0fb8d1acb8aec15d8a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:23:31Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0736ee72566c4a0fb8d1acb8aec15d8a2022-12-21T22:01:56ZengIEEEIEEE Access2169-35362020-01-018849618497010.1109/ACCESS.2020.29930439088971Modeling and Optimization of Wireless Channel in High-Speed Railway TerrainJianli Xie0https://orcid.org/0000-0002-2709-9261Cuiran Li1https://orcid.org/0000-0002-0328-0445Wenbo Zhang2https://orcid.org/0000-0003-2350-9064Ling Liu3https://orcid.org/0000-0002-2872-2406School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaThe 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.https://ieeexplore.ieee.org/document/9088971/Channel modelshigh-speed railwayMarkov processesrailway communicationSNR quantization strategy |
| spellingShingle | Jianli Xie Cuiran Li Wenbo Zhang Ling Liu Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain IEEE Access Channel models high-speed railway Markov processes railway communication SNR quantization strategy |
| title | Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain |
| title_full | Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain |
| title_fullStr | Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain |
| title_full_unstemmed | Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain |
| title_short | Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain |
| title_sort | modeling and optimization of wireless channel in high speed railway terrain |
| topic | Channel models high-speed railway Markov processes railway communication SNR quantization strategy |
| url | https://ieeexplore.ieee.org/document/9088971/ |
| work_keys_str_mv | AT jianlixie modelingandoptimizationofwirelesschannelinhighspeedrailwayterrain AT cuiranli modelingandoptimizationofwirelesschannelinhighspeedrailwayterrain AT wenbozhang modelingandoptimizationofwirelesschannelinhighspeedrailwayterrain AT lingliu modelingandoptimizationofwirelesschannelinhighspeedrailwayterrain |