Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

In this study, we consider the application of deep learning (DL) to tabu search (TS) detection
in large multiple-input multiple-output (MIMO) systems. First, we propose a deep neural …

This study examined the lot-streaming job shop scheduling problem (LSJSP) with variable
sublots and intermingling setting, which has rarely been considered in the literature and is …

Although the sphere decoder (SD) is a powerful detector for multiple-input multiple-output
(MIMO) systems, it has become computationally prohibitive in massive MIMO systems …

A variety of hybrid analog-digital beamforming architectures have recently been proposed
for massive multiple-input multiple-output (MIMO) systems to reduce energy consumption …

In this work, we propose a novel dynamic unequal sub-array (DUESA) architecture for
massive multiple-input multiple-output (MIMO) systems with partially connected hybrid …

In the conventional tabu search (TS) detection algorithm for multiple-input multiple-output
(MIMO) systems, the metrics of all neighboring vectors are computed to determine the best …

The real-time reconfiguration of intelligent reflecting surface (IRS) is one of the crucial, yet
challenging tasks required to exploit the benefits of IRS. In this paper, we study an IRS-aided …

The frequency-selectivity of beamforming, known as the beam squint, significantly impacts
the performance of a system with large signal bandwidths. Standard hybrid beamforming …

This paper presents a low complexity pairwise layered tabu search based detection
algorithm for a large-scale multiple-input multiple-output system. The proposed algorithm …