Dual-Polarized Massive MIMO Based on Precoding for Vehicle-To-Ground Communication in Urban Rail Transit

TL;DR

This paper introduces a dual-polarized MIMO architecture with novel channel estimation and precoding algorithms tailored for vehicle-to-ground communication in urban rail tunnels, enhancing data rates and interference management.

Contribution

It proposes a distributed dual-polarized MIMO system with specialized channel estimation and interference cancellation methods for URT tunnel scenarios.

Findings

The dual-polarized precoding algorithm maintains high performance under strong cross polarization correlation.

The proposed methods significantly improve V2G communication efficiency in urban rail tunnels.

Closed-form expressions for MMSE and MR precoding are derived for practical implementation.

Abstract

The development of intelligent and diversified ser vices in urban rail transit (URT) has resulted in an increasing de mand for high-rate communication between vehicles and ground equipment. However, existing URT communication systems strug gle to handle the massive data exchange required for vehicle-to ground (V2G) communication. To address this issue, we propose a distributed dual-polarized MIMO architecture suitable for URT tunnel scenarios. Specifically, the channel model is based on spatial three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM), which takes into account the geometric distribution of URT tunnels and the cross-polarization effects between dual-polarized antennas. For dual-polarized MIMO systems, the polarized-aware sparse channel estimation (PASCE) method is proposed for effective channel estimation. Additionally, we derive closed-form expressions for the MMSE and MR precoding schemes. The polarized-aware dynamic interference cancellation (PADIC) algorithm is developed to eliminate in terference between different polarization modes and multiple users. The simulation results demonstrate that the proposed dual-polarized precoding algorithm can withstand high cross polarization correlation (XPC) and improve the efficiency of V2G communication to achieve high rates.