Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments

TL;DR

This paper proposes a power allocation strategy for a massive MIMO multi-carrier relay system employing rate splitting and full duplex operation, considering hardware impairments and channel uncertainties, leading to improved sum rate performance.

Contribution

It introduces a joint sub-carrier and power allocation method using an iterative optimization framework for hardware-impaired massive MIMO relay systems with rate splitting.

Findings

Significant sum rate gains over half duplex systems.

Distortion-aware design improves system performance.

Effective convergence of the proposed optimization method.

Abstract

In this paper, we address the power allocation problem for a decode and forward (DF) relay system, where a massive multiple-input-multiple-output (mMIMO) multi-carrier (MC) base station (BS) node communicates with a MC single antenna node directly and also through the single antenna full duplex (FD) MC relay, using rate splitting (RS) approach. Successive interference cancellation approach is adopted at the destination. We consider orthogonal frequency division multiplexing (OFDM) as our MC strategy. We take into account the impact of hardware distortions resulting in residual self-interference and inter-carrier leakage (ICL), and also imperfect channel state information (CSI). We formulate a joint sub-carrier and power allocation problem to maximize the total sum rate. An iterative optimization method is proposed, which follows successive inner approximation (SIA) framework to reach the convergence point that satisfies the Karush-Kuhn-Tucker (KKT) conditions. Numerical results show the significance of distortion-aware design for such systems, and also the significant gain in terms of sum rate compared to its half duplex (HD) and also non-rate splitting scheme.