This paper presents new learning-based, energy-delay-aware power control strategies for
the uplink of dynamic cell-free (CF) massive multiple-input multiple-output (MIMO) networks …

A deep learning-based resource allocation algorithm that maximizes the sum rate of a
limited fronthaul cell-free massive MIMO network with transceiver hardware impairments is …

We consider a cell-free massive multiple-input multiple-output (MIMO) system where the
channel estimates and the received signals are quantized at the access points (APs) and …

A cell-free massive multiple-input multiple-output (MIMO) uplink is investigated in this paper.
We address a power allocation design problem that considers two conflicting metrics …

In this paper, two centralized power allocation schemes are proposed for data transmission
during the uplink phase in the user-centric cell-free (CF) massive multiple-input multiple …

A deep learning (DL)-based power control algorithm that solves the max-min user fairness
problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed …

This work proposes novel approaches that jointly design user equipment (UE) association
and power control (PC) in a downlink user-centric cell-free massive multiple-input multiple …

Recently, model-free power control approaches have been developed to achieve the near-
optimal performance of cell-free (CF) massive multiple-input multiple-output (MIMO) with …

Cell-free massive multiple-input multiple-output (CF-mMIMO) has attracted considerable
attention due to its potential for delivering high data rates and energy efficiency (EE). In this …

In this paper, we study joint power control and scheduling in uplink massive multiple-input-
multiple-output (MIMO) systems with randomly arriving data traffic. We consider both co …