This review describes a cloud-based intelligent power management system that uses
analytics as a control signal and processes balance achievement pointer, and describes …

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 …

In this paper, we investigate a power control of uplink connection in the user-centric ultra-
dense heterogeneous networks (HetNets), which are studied as different types of access …

One of the key challenges in Internet of Things (IoT) networks is to connect many different
types of autonomous devices while reducing their individual power consumption. This …

In this paper, we develop a gradient-free optimization methodology for efficient resource
allocation in Gaussian MIMO multiple access channels. Our approach combines two main …

In this article, power control of uplink connection in the ultra-dense heterogeneous networks
(HetNets), which are studied as different types of access points (APs), is investigated. It is …

This article addresses a distributed optimization problem in a communication network where
nodes are active sporadically. Each active node applies some learning method to control its …

A chameleon algorithm based on optimized partitioning was studied to solve the intelligent
matching problem of college dormitory roommates. Using quantitative research methods …

Abstract Device‐to‐device (D2D) technology is a promising communication paradigm that
enables direct communication between spatially close devices. The D2D technology is very …

In wireless communication, the full potential of multiple-input multiple-output (MIMO) arrays
can only be realized through optimization of their transmission parameters. Distributed …