A generic non-stationary MIMO channel model for different high-speed train scenarios

Ammar Ghazal, Cheng-Xiang Wang, Yu Liu, Pingzhi Fan, Mohamed Khaled Chahine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

This paper proposes a generic non-stationary wideband geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) high-speed train (HST) channels. The proposed generic model can be applied on the three most common HST scenarios, i.e., open space, viaduct, and cutting scenarios. A good agreement between the statistical properties of the proposed generic model and those of relevant measurement data from the aforementioned scenarios demonstrates the utility of the proposed channel model.

Original languageEnglish
Title of host publication2015 IEEE/CIC International Conference on Communications in China (ICCC)
PublisherIEEE
ISBN (Print)9781509002436
DOIs
Publication statusPublished - 2015
Event2015 IEEE/CIC International Conference on Communications in China - Shenzhen, China
Duration: 2 Nov 20155 Nov 2015

Conference

Conference2015 IEEE/CIC International Conference on Communications in China
Abbreviated titleICCC 2015
Country/TerritoryChina
CityShenzhen
Period2/11/155/11/15

Keywords

  • cutting
  • GBSM
  • high-speed railway scenarios
  • High-speed train (HST) channels
  • non-stationary MIMO channel models
  • open space
  • viaduct

ASJC Scopus subject areas

  • Computer Networks and Communications

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