Geometry-Based Stochastic Modeling for Non-Stationary High-Speed Train MIMO Channels

Zhao, Junhui; Shangyao, Wang; Liu, Xu; Gong, Yi

doi:10.1109/vtcfall.2016.7881029

Cited by 6 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to design an applicative communication system in tunnel environment and evaluate the system performance, an accurate channel model and a detailed knowledge of its statistical properties are indispensable. There are already many useful models adapted in different environments, such as ray-tracing models [5][6], geometry-based deterministic models (GBDMs) [7], correlation-based stochastic models (CBSMs) [8][9] and geometry-based stochastic models (GBSMs) [10][11]. Because of the research convenience for the statistical characteristics and capacity, GBSMs are most widely used.…”

Section: Introductionmentioning

confidence: 99%

A Neoteric Three-Dimensional Geometry-Based Stochastic Model for Massive MIMO Fading Channels in Subway Tunnels

2019

KSII TIIS

View full text Add to dashboard Cite

Wireless mobile communication systems in subway tunnels have been widely researched these years, due to increased demand for the communication applications. As a result, an accurate model is essential to effectively evaluate the communication system performance. Thus, a neoteric three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for the massive multiple-input multiple-output (MIMO) fading channels in tunnel environment. Furthermore, the statistical properties of the channel such as space-time correlation, amplitude and phase probability density are analyzed and compared with those of the traditional two-dimensional (2D) model by numerical simulations. Finally, the ergodic capacity is investigated based on the proposed model. Numerical results show that the proposed model can describe the channel in tunnels more practically.

show abstract