Details

Autor(en) / Beteiligte

• Jingya Yang
• Bo Ai
• Ke Guan
• Danping He
• Ruisi He
• Bei Zhang
• Zhangdui Zhong
• Zhuyan Zhao
• Deshan Miao
• Hao Guan

Titel

Deterministic Modeling and Stochastic Analysis for Channel in Composite High-Speed Railway Scenario

Ist Teil von

• 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016, p.1-5

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE Explore

Beschreibungen/Notizen

• The rapidly time-varying channel in high-speed railway poses tough design challenges, which necessitates the research of accurate channel models. Existing researches focus on the isolated high-speed railway scenarios, and mainly deal with path loss, shadowing fading, Ricean K-factor and delay spread. However, few studies have been done in Doppler domain. In this paper, a deterministic channel model that employs ray- tracing algorithm is presented. The proposed deterministic modeling approach is applied in composite high-speed railway scenario rather than isolated one. The scenario is flexibly reconstructed through SketchUp. The simulation results are validated by the data measured in the same scenario. The channel characteristics in Doppler domain and the effect of Doppler shift are statistically analyzed based on the deterministic channel model. The transition regions in the composite scenario are emphatically investigated, and the results are compared with those of prior studies.