Path Loss Modeling of Wireless Signals in Underground Tunnels
The environmental characteristics of underground tunnels are very different from those of open spaces. Typical features of underground tunnels (sidewall roughness, metal conductors, tunnel inclinations, etc.) significantly affect signal propagation, making it difficult for a single modeling approach...
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Antennas and Propagation |
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| Online Access: | https://ieeexplore.ieee.org/document/10690171/ |
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| author | Yaning Li Baoguo Yu Lu Huang |
| author_facet | Yaning Li Baoguo Yu Lu Huang |
| author_sort | Yaning Li |
| collection | DOAJ |
| description | The environmental characteristics of underground tunnels are very different from those of open spaces. Typical features of underground tunnels (sidewall roughness, metal conductors, tunnel inclinations, etc.) significantly affect signal propagation, making it difficult for a single modeling approach to accurately describe the field strength attenuation of a wireless channel in an underground tunnel. In this paper, a hybrid model describing the propagation attenuation of wireless signals in underground tunnels is proposed, which divides the propagation channel into three subdomains according to the length of the tunnel, namely, the region of the free space propagation model, the region of the multimode propagation described by the ray tracing method, and the region of the improved waveguide model by adding the influences of tunnel roughness, tunnel inclination, and metal pipes. The determination of the breakpoints separating each region depends on the variation of the angle between the arrival direction of the signal ray and the axial direction of the tunnel. The proposed channel model is validated by simulation and experimental measurements, and the results show that the proposed model agrees well with the measured data and outperforms the current most advanced channel propagation fading model, with a 16.2% reduction of model error for the empty straight tunnel, and a 32.0% reduction of model error for the tunnel with metal pipes. |
| format | Article |
| id | doaj-art-6a44c7c2aa6a4c81b33e3a2c2b72cb2a |
| institution | Kabale University |
| issn | 2637-6431 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Antennas and Propagation |
| spelling | doaj-art-6a44c7c2aa6a4c81b33e3a2c2b72cb2a2025-01-30T00:03:27ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312025-01-0161647410.1109/OJAP.2024.346705810690171Path Loss Modeling of Wireless Signals in Underground TunnelsYaning Li0Baoguo Yu1https://orcid.org/0000-0002-3006-7519Lu Huang2https://orcid.org/0000-0002-1064-7399School of Instrument Science and Engineering, Southeast University, Nanjing, ChinaThe 54th Research Institute, China Electronics Technology Group Corporation, Shijiazhuang, ChinaThe 54th Research Institute, China Electronics Technology Group Corporation, Shijiazhuang, ChinaThe environmental characteristics of underground tunnels are very different from those of open spaces. Typical features of underground tunnels (sidewall roughness, metal conductors, tunnel inclinations, etc.) significantly affect signal propagation, making it difficult for a single modeling approach to accurately describe the field strength attenuation of a wireless channel in an underground tunnel. In this paper, a hybrid model describing the propagation attenuation of wireless signals in underground tunnels is proposed, which divides the propagation channel into three subdomains according to the length of the tunnel, namely, the region of the free space propagation model, the region of the multimode propagation described by the ray tracing method, and the region of the improved waveguide model by adding the influences of tunnel roughness, tunnel inclination, and metal pipes. The determination of the breakpoints separating each region depends on the variation of the angle between the arrival direction of the signal ray and the axial direction of the tunnel. The proposed channel model is validated by simulation and experimental measurements, and the results show that the proposed model agrees well with the measured data and outperforms the current most advanced channel propagation fading model, with a 16.2% reduction of model error for the empty straight tunnel, and a 32.0% reduction of model error for the tunnel with metal pipes.https://ieeexplore.ieee.org/document/10690171/Channel modelingelectromagnetic propagationpath lossunderground tunnels |
| spellingShingle | Yaning Li Baoguo Yu Lu Huang Path Loss Modeling of Wireless Signals in Underground Tunnels IEEE Open Journal of Antennas and Propagation Channel modeling electromagnetic propagation path loss underground tunnels |
| title | Path Loss Modeling of Wireless Signals in Underground Tunnels |
| title_full | Path Loss Modeling of Wireless Signals in Underground Tunnels |
| title_fullStr | Path Loss Modeling of Wireless Signals in Underground Tunnels |
| title_full_unstemmed | Path Loss Modeling of Wireless Signals in Underground Tunnels |
| title_short | Path Loss Modeling of Wireless Signals in Underground Tunnels |
| title_sort | path loss modeling of wireless signals in underground tunnels |
| topic | Channel modeling electromagnetic propagation path loss underground tunnels |
| url | https://ieeexplore.ieee.org/document/10690171/ |
| work_keys_str_mv | AT yaningli pathlossmodelingofwirelesssignalsinundergroundtunnels AT baoguoyu pathlossmodelingofwirelesssignalsinundergroundtunnels AT luhuang pathlossmodelingofwirelesssignalsinundergroundtunnels |