Coverage Probability Analysis of RIS-Assisted High-Speed Train Communications

TL;DR

This paper analyzes how reconfigurable intelligent surfaces can enhance coverage probability in high-speed train communications, providing a mathematical expression and examining key system parameters through simulations.

Contribution

It derives a closed-form expression for coverage probability in RIS-assisted high-speed train systems and analyzes the effects of system parameters.

Findings

RIS significantly improves coverage probability.

Coverage probability increases with transmission power.

Optimal placement of RIS enhances system performance.

Abstract

Reconfigurable intelligent surface (RIS) has received increasing attention due to its capability of extending cell coverage by reflecting signals toward receivers. This paper considers a RIS-assisted high-speed train (HST) communication system to improve the coverage probability. We derive the closed-form expression of coverage probability. Moreover, we analyze impacts of some key system parameters, including transmission power, signal-to-noise ratio threshold, and horizontal distance between base station and RIS. Simulation results verify the efficiency of RIS-assisted HST communications in terms of coverage probability.