Performance Analysis of Self-Interference Cancellation in Full-Duplex Large-Scale MIMO Systems

TL;DR

This paper evaluates self-interference cancellation techniques in full-duplex large-scale MIMO systems, comparing SI-subtraction and spatial suppression under perfect and imperfect channel estimation scenarios.

Contribution

It provides a comprehensive performance analysis of SI-subtraction and spatial suppression methods, highlighting their relative advantages in different channel estimation conditions.

Findings

SI-subtraction outperforms spatial suppression with perfect channel estimation.

Spatial suppression yields better uplink and ergodic rates with imperfect channel estimation.

Analytical and numerical results validate the performance comparisons.

Abstract

This paper presents the performance analysis of the self-interference cancellation (SIC) methods in full-duplex largescale multiple-input multiple-output systems. To mitigate selfinterference (SI), we assume that the full duplex-base station (BS) uses SI-subtraction or spatial suppression. Analytical and numerical results confirm that the SI-subtraction outperforms the spatial suppression for SIC in a perfect channel estimation case. It is also concluded that the uplink and overall ergodic rates performance of the spatial suppression is respectively better than those of the SI-subtraction in a imperfect channel estimation case under a given system constraint such as uplink/downlink sum rates and the total transmit power at the BS.