Multi-Branch Lattice-Reduction SIC for Multiuser MIMO Systems

TL;DR

This paper introduces a novel detection method for MU-MIMO systems combining lattice reduction and multi-branch SIC, achieving near-optimal performance with reduced complexity.

Contribution

It presents a new detection scheme that integrates lattice reduction with multi-branch SIC, requiring only one LR transformation and enhancing detection accuracy.

Findings

Near-ML performance achieved

Lower computational complexity than ML detector

Effective channel matrix orthogonalization

Abstract

In this paper, we propose a new detection technique for multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed scheme combines a lattice reduction (LR) transformation, which makes the channel matrix nearly orthogonal, and then employs a multi-branch (MB) technique with successive interference cancellation (SIC). A single LR transformation is required for the receive filters of all branches in the scheme, which proposes a different ordering for each branch and generates a list of detection candidates. The best vector of estimated symbols is chosen according to the maximum likelihood (ML) selection criterion. Simulation results show that the proposed detection structure has a near-optimal performance while the computational complexity is much lower than that of the ML detector.