Massive BLAST: An Architecture for Realizing Ultra-High Data Rates for Large-Scale MIMO

TL;DR

This paper introduces M-BLAST, a detection algorithm for uplink massive MIMO that significantly improves error performance and reduces complexity compared to existing methods, enabling efficient utilization of large antenna arrays.

Contribution

The paper proposes M-BLAST, an enhanced detection scheme for massive MIMO that outperforms traditional detectors in error rate and computational efficiency.

Findings

M-BLAST achieves better error performance than linear detectors and V-BLAST.

M-BLAST reduces computational complexity in massive MIMO detection.

Simulation results demonstrate the effectiveness of M-BLAST in large-scale antenna scenarios.

Abstract

A detection scheme for uplink massive MIMO, dubbed massive-BLAST or M-BLAST, is proposed. The derived algorithm is an enhancement of the well-known soft parallel interference cancellation. Using computer simulations in massive MIMO application scenarios, M-BLAST is shown to yield a substantially better error performance with reduced complexity, compared to the benchmark alternative of a one-shot linear detector, as well as the original sequential V-BLAST. Hence, M-BLAST may serve as a computationally efficient means to exploit the large number of antennas in massive MIMO.