Flexible Widely-Linear Multi-Branch Decision Feedback Detection Algorithms for Massive MIMO Systems

TL;DR

This paper introduces widely-linear multi-branch decision feedback detection algorithms tailored for massive MIMO systems, effectively mitigating I/Q imbalance and multiuser interference, and demonstrating superior performance through simulations.

Contribution

The paper develops a novel widely-linear multi-branch decision feedback receiver that addresses I/Q imbalance and interference in large-scale MIMO systems, enhancing detection accuracy.

Findings

Outperforms existing algorithms in simulations

Effectively mitigates I/Q imbalance effects

Improves multiuser detection in massive MIMO

Abstract

This paper presents widely-linear multi-branch decision feedback detection techniques for large-scale multiuser multiple-antenna systems. We consider a scenario with impairments in the radio-frequency chain in which the in-phase (I) and quadrature (Q) components exhibit an imbalance, which degrades the receiver performance and originates non-circular signals. A widely-linear multi-branch decision feedback receiver is developed to mitigate both the multiuser interference and the I/Q imbalance effects. An iterative detection and decoding scheme with the proposed receiver and convolutional codes is also devised. Simulation results show that the proposed techniques outperform existing algorithms.