Graph‐based stochastic model for high‐speed railway cutting scenarios. Issue 15 (1st December 2015)

• Record Type: Journal Article
• Authors: Zhou, Tao; Tao, Cheng; Salous, Sana; Tan, Zhenhui; Liu, Liu; Tian, Li
• Is Part Of: IET microwaves, antennas & propagation. Volume 9:Issue 15(2015)
• Page Start: 1691
• Page End: 1697
• Publication Date: 2015-12-01
• Subjects: MIMO communication -- railway communication -- graph theory -- stochastic processes -- wireless channels -- radiowave propagation -- broadband networks -- transient response -- telecommunication network reliability; graph‐based stochastic channel model -- high‐speed railway cutting scenario -- propagation graph theory -- HSR cutting scenario -- single input single output wideband measurement -- line of sight -- single bounced condition -- double bounced condition -- virtual channel impulse response -- multiple input multiple output system -- MIMO performance simulation analysis reliability -- spatial correlation -- ergodic capacity; Microwaves -- Periodicals; Microwave antennas -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Microwave communication systems -- Periodicals; 621.381305
• DOI: 10.1049/iet-map.2014.0827
• Languages: English
• ISSNs: 1751-8725

Abstract

Abstract : This study proposes a stochastic channel model based on the propagation graph theory for high‐speed railway (HSR) cutting scenarios. Single‐input single‐output wideband measurements are conducted under a cutting for acquiring realistic channel data. The propagation graph covering line of sight, single bounced and double bounced conditions is used to describe the measured propagation scenario and generate the virtual channel impulse responses. The graph model is validated focusing on small‐scale characteristics such as Ricean K‐factor, delay and frequency dispersions, and a close agreement is achieved between model and measurement results. In particular, the verified model is extended to the multiple‐input multiple‐output case for simulation analysis of MIMO performance of the measured environment, concentrating on the spatial correlation and the ergodic capacity. The proposed model can facilitate the reliable simulation and evaluation of MIMO systems in the HSR cutting scenario.