A 3D Non-stationary MmWave Channel Model for Vacuum Tube Ultra-High-Speed Train Channels

As a potential development direction of future transportation, the vacuum tube ultra-high-speed train (UHST) wireless communication systems have newly different channel characteristics from existing high-speed train (HST) scenarios. In this paper, a three-dimensional non-stationary millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed to investigate the channel characteristics of UHST channels in vacuum tube scenarios, taking into account the waveguide effect and the impact of tube wall roughness on channel. Then, based on the proposed model, some important time-variant channel statistical properties are studied and compared with those in existing HST and tunnel channels. The results obtained show that the multipath effect in vacuum tube scenarios will be more obvious than tunnel scenarios but less than existing HST scenarios, which will provide some insights for future research on vacuum tube UHST wireless communications.

[1]  Cheng-Xiang Wang,et al.  Channel measurements and models for high-speed train wireless communication systems in tunnel scenarios: a survey , 2016, Science China Information Sciences.

[2]  Yu Liu,et al.  Novel 3-D Nonstationary MmWave Massive MIMO Channel Models for 5G High-Speed Train Wireless Communications , 2019, IEEE Transactions on Vehicular Technology.

[3]  Cheng-Xiang Wang,et al.  A Survey of 5G Channel Measurements and Models , 2018, IEEE Communications Surveys & Tutorials.

[4]  Aijun Cheng,et al.  Technological Development of High Speed Maglev System Based on Low Vacuum Pipeline , 2018 .

[5]  Xiqi Gao,et al.  6G Wireless Channel Measurements and Models: Trends and Challenges , 2020, IEEE Vehicular Technology Magazine.

[6]  Cheng-Xiang Wang,et al.  Recent Developments and Future Challenges in Channel Measurements and Models for 5G and Beyond High-Speed Train Communication Systems , 2019, IEEE Communications Magazine.

[7]  Hui Wei,et al.  The Measurements and Simulations of Millimeter Wave Propagation at 38ghz in Circular Subway Tunnels , 2008, 2008 China-Japan Joint Microwave Conference.

[8]  Pingzhi Fan,et al.  Channel Measurements and Models for High-Speed Train Communication Systems: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[9]  Bo Ai,et al.  Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part II: Case Study for Paradigm Implementation , 2018, IEEE Transactions on Vehicular Technology.

[10]  Tao Zhou,et al.  Key Technologies of Broadband Wireless Communication for Vacuum Tube High-Speed Flying Train , 2019, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

[11]  5 G Channel Model for bands up to 100 GHz , 2015 .

[12]  Xiaohu You,et al.  A General 3-D Non-Stationary 5G Wireless Channel Model , 2018, IEEE Transactions on Communications.

[13]  Cheng-Xiang Wang,et al.  3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems , 2016, Science China Information Sciences.

[14]  George K. Karagiannidis,et al.  3D Non-Stationary Wideband Tunnel Channel Models for 5G High-Speed Train Wireless Communications , 2020, IEEE Transactions on Intelligent Transportation Systems.

[15]  Liu Liu,et al.  Position‐Based Wireless Channel Characterization for the High‐Speed Vactrains in Vacuum Tube Scenarios Using Propagation Graph Modeling Theory , 2020, Radio Science.

[16]  Erik G. Larsson,et al.  Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts , 2020, Science China Information Sciences.