Revisiting Near-Far Field Boundary in Dual-Polarized XL-MIMO Systems

TL;DR

This paper redefines near-far field boundaries for dual-polarized XL-MIMO systems by incorporating XPD variations, enabling more accurate modeling and improved transmit covariance optimization in future 6G networks.

Contribution

It introduces a new near-far field boundary considering XPD differences and models joint effects of co- and cross-polarized components for dual-polarized XL-MIMO.

Findings

New XPD-based near-far field boundary improves accuracy.

Proposed scheme enhances transmit covariance optimization.

Numerical results confirm the effectiveness of the approach.

Abstract

Extremely large-scale multiple-input multiple-output (XL-MIMO) is expected to be an important technology in future sixth generation (6G) networks. Compared with conventional single-polarized XL-MIMO, where signals are transmitted and received in only one polarization direction, dual-polarized XL-MIMO systems achieve higher data rate by improving multiplexing performances, and thus are the focus of this paper. Due to enlarged aperture, near-field regions become non-negligible in XL-MIMO communications, necessitating accurate near-far field boundary characterizations. However, existing boundaries developed for single-polarized systems only consider phase or power differences across array elements while irrespective of cross-polarization discrimination (XPD) variances in dual-polarized XL-MIMO systems, deteriorating transmit covariance optimization performances. In this paper, we revisit near-far field boundaries for dual-polarized XL-MIMO systems by taking XPD differences into account, which faces the following challenge. Unlike existing near-far field boundaries, which only need to consider co-polarized channel components, deriving boundaries for dual-polarized XL-MIMO systems requires modeling joint effects of co-polarized and cross-polarized components. To address this issue, we model XPD variations across antennas and introduce a non-uniform XPD distance to complement existing near-far field boundaries. Based on the new distance criterion, we propose an efficient scheme to optimize transmit covariance. Numerical results validate our analysis and demonstrate the proposed algorithm's effectiveness.