Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry
Satellite-terrestrial integrated wireless network (STIN) is a pivotal approach in achieving worldwide wireless connectivity. To guide base stations deployment of STIN, an analysis of the uplink coverage probability was conducted. Stochastic geometry was used to modeled the STIN under a setting of di...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-04-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024100/ |
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| author | LI Ruiwen SUN Yaohua PENG Mugen |
| author_facet | LI Ruiwen SUN Yaohua PENG Mugen |
| author_sort | LI Ruiwen |
| collection | DOAJ |
| description | Satellite-terrestrial integrated wireless network (STIN) is a pivotal approach in achieving worldwide wireless connectivity. To guide base stations deployment of STIN, an analysis of the uplink coverage probability was conducted. Stochastic geometry was used to modeled the STIN under a setting of distinct frequencies. The satellite stations modeled as a one-dimensional Poisson point process (PPP) on orbit, base stations and users were represented as two-dimensional PPP. The expression for the uplink coverage probability was derived in terms of parameters such as base station density and orbital inclination. The correctness of the derived expression was verified through experimental simulations, and the impact of network parameters on the uplink coverage probability were analyzed. |
| format | Article |
| id | doaj-art-b8d75a63a7d840aaad42b4356baabf1e |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b8d75a63a7d840aaad42b4356baabf1e2025-01-15T02:48:29ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-04-0140182956705594Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometryLI RuiwenSUN YaohuaPENG MugenSatellite-terrestrial integrated wireless network (STIN) is a pivotal approach in achieving worldwide wireless connectivity. To guide base stations deployment of STIN, an analysis of the uplink coverage probability was conducted. Stochastic geometry was used to modeled the STIN under a setting of distinct frequencies. The satellite stations modeled as a one-dimensional Poisson point process (PPP) on orbit, base stations and users were represented as two-dimensional PPP. The expression for the uplink coverage probability was derived in terms of parameters such as base station density and orbital inclination. The correctness of the derived expression was verified through experimental simulations, and the impact of network parameters on the uplink coverage probability were analyzed.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024100/stochastic geometrySTINuplink coverage probability |
| spellingShingle | LI Ruiwen SUN Yaohua PENG Mugen Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry Dianxin kexue stochastic geometry STIN uplink coverage probability |
| title | Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry |
| title_full | Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry |
| title_fullStr | Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry |
| title_full_unstemmed | Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry |
| title_short | Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry |
| title_sort | performance analysis of satellite terrestrial integrated wireless network based on stochastic geometry |
| topic | stochastic geometry STIN uplink coverage probability |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024100/ |
| work_keys_str_mv | AT liruiwen performanceanalysisofsatelliteterrestrialintegratedwirelessnetworkbasedonstochasticgeometry AT sunyaohua performanceanalysisofsatelliteterrestrialintegratedwirelessnetworkbasedonstochasticgeometry AT pengmugen performanceanalysisofsatelliteterrestrialintegratedwirelessnetworkbasedonstochasticgeometry |