Johann Lichtblau, F. Lurz, Benedikt Sanftl, R. Weigel, A. Koelpin
{"title":"高速铁路隧道穿越无线车载信道特性研究","authors":"Johann Lichtblau, F. Lurz, Benedikt Sanftl, R. Weigel, A. Koelpin","doi":"10.1109/IMOC43827.2019.9317549","DOIUrl":null,"url":null,"abstract":"Channel models provide the advantage of being able to validate new modulation and coding schemes timeefficiently. The prerequisite for such a simulated outcome is the adequate reflection of reality in the model. Moreover, field measurements are extremely resource-intensive for communication testing in rail transport. These two aspects lead to the fact that high quality channel models are essential in this industrial sector and the only way to obtain results regarding communication performance rapidly and without massive effort. After preliminary work has identified unexplored effects in train-onboard communication during tunnel crossing at high speeds, this work focuses on the creation of a channel model for such a scenario. By analyzing many channel impulse responses, it is the intention to gain an improved knowledge of interference effects and to transfer this scenario into a statistical channel model. After an appropriate verification, this enables the execution of several simulations in the context of 5G and the optimal setting of various communication parameters. A realistic evaluation is thus possible in a purely virtual way as finally presented by results of two applied channel models.","PeriodicalId":175865,"journal":{"name":"2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Characterization of The Wireless Onboard Channel During Tunnel Crossing in High-Speed Rail Traffic\",\"authors\":\"Johann Lichtblau, F. Lurz, Benedikt Sanftl, R. Weigel, A. Koelpin\",\"doi\":\"10.1109/IMOC43827.2019.9317549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Channel models provide the advantage of being able to validate new modulation and coding schemes timeefficiently. The prerequisite for such a simulated outcome is the adequate reflection of reality in the model. Moreover, field measurements are extremely resource-intensive for communication testing in rail transport. These two aspects lead to the fact that high quality channel models are essential in this industrial sector and the only way to obtain results regarding communication performance rapidly and without massive effort. After preliminary work has identified unexplored effects in train-onboard communication during tunnel crossing at high speeds, this work focuses on the creation of a channel model for such a scenario. By analyzing many channel impulse responses, it is the intention to gain an improved knowledge of interference effects and to transfer this scenario into a statistical channel model. After an appropriate verification, this enables the execution of several simulations in the context of 5G and the optimal setting of various communication parameters. A realistic evaluation is thus possible in a purely virtual way as finally presented by results of two applied channel models.\",\"PeriodicalId\":175865,\"journal\":{\"name\":\"2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMOC43827.2019.9317549\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMOC43827.2019.9317549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization of The Wireless Onboard Channel During Tunnel Crossing in High-Speed Rail Traffic
Channel models provide the advantage of being able to validate new modulation and coding schemes timeefficiently. The prerequisite for such a simulated outcome is the adequate reflection of reality in the model. Moreover, field measurements are extremely resource-intensive for communication testing in rail transport. These two aspects lead to the fact that high quality channel models are essential in this industrial sector and the only way to obtain results regarding communication performance rapidly and without massive effort. After preliminary work has identified unexplored effects in train-onboard communication during tunnel crossing at high speeds, this work focuses on the creation of a channel model for such a scenario. By analyzing many channel impulse responses, it is the intention to gain an improved knowledge of interference effects and to transfer this scenario into a statistical channel model. After an appropriate verification, this enables the execution of several simulations in the context of 5G and the optimal setting of various communication parameters. A realistic evaluation is thus possible in a purely virtual way as finally presented by results of two applied channel models.