Downlink-Performance-Analysis-of-Extremely-Large-Scale-MIMO-OFDM-Systems-for-High-Speed-Railway

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Downlink-Performance-Analysis-of-Extremely-Large-Scale-MIMO-OFDM-Systems-for-High-Speed-Railway

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Simulation Code for W. Yi, J. Zhang, Z. Wang, H. Xiao and B. Ai, "Downlink Performance Analysis of Extremely Large-Scale MIMO-OFDM Systems for High-Speed Railway," in IEEE Transactions on Vehicular Technology, to appear, 2025.

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## Downlink-Performance-Analysis-of-Extremely-Large-Scale-MIMO-OFDM-Systems-for-High-Speed-Railway
This is a code package is related to the following scientific article:

W. Yi, J. Zhang, Z. Wang, H. Xiao and B. Ai, "Downlink Performance Analysis of Extremely Large-Scale MIMO-OFDM Systems for High-Speed Railway," in IEEE Transactions on Vehicular Technology, to appear, 2025.

The package contains a simulation environment, based on Matlab, that reproduces the numerical results in the article. *We encourage you to also perform reproducible research!*

## Abstract of Article

The potential of extremely large-scale multiple-input multiple-output (XL-MIMO) systems to enhance the performance of high-speed railway (HSR) wireless networks is vast. In this correspondence, we examine the performance characteristics of the XL-MIMO-OFDM HSR system, focusing on uniform planar array (UPA) and uniform linear array (ULA) configurations. Considering the multipath spherical wave channel model, we develop a system model that accounts for the Doppler frequency offset (DFO) caused by train movement. Our analysis includes the performance of effective degrees of freedom (EDoF), deriving closed-form expressions for both UPA- and ULA-based systems. Additionally, we investigate the integration of XL-MIMO with orthogonal frequency-division multiplexing (OFDM), which enhances the signal-to-interference plus noise ratio (SINR) and spectral efficiency (SE) of individual base stations. Simulation results demonstrate the superior EDoF performance of UPA- and ULA-based XL-MIMO-OFDM systems. Moreover, the intercarrier interference resulting from train movement increases with speed, and the degradation in signal quality caused by this interference can be mitigated by configuring the XL-MIMO-OFDM system. Notably, the adoption of XL-MIMO technology with a near-field channel model significantly improves coverage reliability compared to traditional MIMO configurations using a far-field channel model.

## Content of Code Package

The package includes the source codes applied in this correspondence.

This code package is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our original article:

```
@ARTICLE{10915611,
  author={Yi, Wenhui and Zhang, Jiayi and Wang, Zhe and Xiao, Huahua and Ai, Bo},
  journal={IEEE Transactions on Vehicular Technology}, 
  title={Downlink Performance Analysis of Extremely Large-Scale MIMO-OFDM Systems for High-Speed Railway}, 
  year={2025},
  volume={},
  number={},
  pages={1-6}
```

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