• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


Abstract

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.


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Cite this article

[IEEE Style]
Y. Jiang, A. Guo, J. Zou, B. Ai, "A Neoteric Three-Dimensional Geometry-Based Stochastic Model for Massive MIMO Fading Channels in Subway Tunnels," KSII Transactions on Internet and Information Systems, vol. 13, no. 6, pp. 2890-2907, 2019. DOI: 10.3837/tiis.2019.06.007.

[ACM Style]
Yukang Jiang, Aihuang Guo, Jinbai Zou, and Bo Ai. 2019. A Neoteric Three-Dimensional Geometry-Based Stochastic Model for Massive MIMO Fading Channels in Subway Tunnels. KSII Transactions on Internet and Information Systems, 13, 6, (2019), 2890-2907. DOI: 10.3837/tiis.2019.06.007.

[BibTeX Style]
@article{tiis:22121, title="A Neoteric Three-Dimensional Geometry-Based Stochastic Model for Massive MIMO Fading Channels in Subway Tunnels", author="Yukang Jiang and Aihuang Guo and Jinbai Zou and Bo Ai and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.06.007}, volume={13}, number={6}, year="2019", month={June}, pages={2890-2907}}