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) …

Optimal data detection in multiple-input multiple-output (MIMO) communication systems with
a large number of antennas at both ends of the wireless link entails prohibitive …

Minimum mean square error (MMSE) signal detection is near-optimal for uplink multi-user
large-scale MIMO systems with hundreds of antennas at the base station, but involves matrix …

This paper considers base station cooperation (BSC) strategies for the uplink of a multiuser
multicell high-frequency reuse scenario where distributed iterative detection (DID) schemes …

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 …

In this paper, we consider a fundamental problem in modern digital communications known
as multiple-input multiple-output (MIMO) detection, which can be formulated as a complex …

The multiple-input multiple-output (MIMO) system makes efficient use of spectrum and
increases the transmission throughput in wireless communications. The sphere decoding …

Multiple-input Multiple-output (MIMO) technologies play an important role in modern and
future wireless communication systems as they can improve the capacity without increasing …

Low-complexity near-optimal detection of signals in MIMO systems with large number (tens)
of antennas is getting increased attention. In this paper, first, we propose a variant of Markov …

This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …