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 …

As a result of higher frequencies and increased user mobility, researchers and systems
designers are shifting their focus from time-invariant models to channels that vary within a …

Burstiness, a phenomenon initially observed in text retrieval, is the property that a given
visual element appears more times in an image than a statistically independent model …

A new detection algorithm for uncoded multiple input-multiple output (MIMO) systems based
on the complex version of the sphere decoder (SD) is presented in this paper. It performs a …

Lattice reduction is a powerful concept for solving diverse problems involving point lattices.
Signal processing applications where lattice reduction has been successfully used include …

We investigate the optimal signal detection problem in large-scale multiple-input multiple-
output (MIMO) system with the generalized spatial modulation (GSM) scheme, which can be …

Codes in the sum-rank metric have attracted significant attention for their applications in
distributed storage systems, multishot network coding, streaming over erasure channels …

Linear receivers are an attractive low-complexity alternative to optimal processing for
multiple-antenna multiple-input multiple-output (MIMO) communications. In this paper, we …

This paper investigates the optimal signal detection problem with a particular interest in
large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard and can …

In this paper, we provide a review of the benefits of employing multiple-input multiple-output
(MIMO) processing techniques in vehicular ad hoc networks VANETs. These benefits …