Hardware Impairments Aware Transceiver Design for Bidirectional Full-Duplex MIMO OFDM Systems

TL;DR

This paper develops hardware impairment-aware transceiver designs for bidirectional full-duplex MIMO OFDM systems, accounting for hardware distortions and channel errors to improve performance.

Contribution

It introduces a frequency-domain model of hardware distortions and proposes MMSE and sum rate maximization based precoding and decoding strategies considering hardware impairments.

Findings

Distortion-aware design improves system performance with high hardware distortion.

Frequency-domain modeling clarifies hardware impact on residual self-interference.

Alternating optimization ensures convergence of the proposed transceiver algorithms.

Abstract

In this paper we address the linear precoding and decoding design problem for a bidirectional orthogonal frequencydivision multiplexing (OFDM) communication system, between two multiple-input multiple-output (MIMO) full-duplex (FD) nodes. The effects of hardware distortion as well as the channel state information error are taken into account. In the first step, we transform the available time-domain characterization of the hardware distortions for FD MIMO transceivers to the frequency domain, via a linear Fourier transformation. As a result, the explicit impact of hardware inaccuracies on the residual selfinterference (RSI) and inter-carrier leakage (ICL) is formulated in relation to the intended transmit/received signals. Afterwards, linear precoding and decoding designs are proposed to enhance the system performance following the minimum-mean-squarederror (MMSE) and sum rate maximization strategies, assuming the availability of perfect or erroneous CSI. The proposed designs are based on the application of alternating optimization over the system parameters, leading to a necessary convergence. Numerical results indicate that the application of a distortionaware design is essential for a system with a high hardware distortion, or for a system with a low thermal noise variance.