Optimal MIMO detection is one of the most computationally challenging tasks in wireless
systems. We show that new analog computing approaches, such as Coherent Ising …

Optimal MIMO detection has been one of the most challenging and computationally
inefficient tasks in wireless systems. We show that the new analog computing techniques …

The last couple of years have seen an emergence of physics-inspired computing for
maximum likelihood MIMO detection. These methods involve transforming the MIMO …

Multiple-Input-Multiple-Output~(MIMO) signal detection is central to every state-of-the-art
communication system, and enhancements in error performance and computation …

In this article, we present a new iterative MIMO detection algorithm based on inexact
alternating direction method of multipliers. Each iteration is considered as a neural network …

Neighborhood search algorithms have been proposed for low complexity detection in
large/massive multipleinput multiple-output systems. They iteratively search for the vector …

The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

We introduce several low complexity sub-optimal MIMO detection schemes based on the
List-BLAST algorithm, which exhausts the constellation points in the first layer of a BLAST …

This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly
detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) …

As an effective means to improve the spectral efficiency in wireless communications,
multiple-input multiple-output (MIMO) systems equipped with multiple antennas at both …