Having a cognitive and self-optimizing network that proactively adapts not only to channel
conditions, but also according to its users' needs can be one of the highest forthcoming …

Big data analytics is one of the state-of-the-art tools to optimize networks and transform them
from merely being a blind tube that conveys data, into a cognitive, conscious, and self …

The focus of this article is maximizing the sum-rate of wireless unmanned aerial vehicle
(UAV) networks with intelligent reflecting surfaces (IRS) in the presence of system practical …

In this paper, we consider the problem of scheduling optimal sub-trees at different time
intervals for wireless sensor network (WSN) communications with partial coverage. More …

In this paper, we introduce machine learning approaches that are used to prioritize
outpatients (OP) according to their current health state, resulting in self-optimizing …

In this paper, we propose new mixed integer linear programming (MILP) models in order to
maximize the total capacity of a wireless visible light communication (VLC) network subject …

Generally, slot allocation is followed by power allocation for sub-channels in that slot. The
power can be allocated equally to all sub-channels which an optimal power allocation over …

In this paper, we consider the problem of maximizing the total number of users in a multi-cell
wireless network subject to power and independent set constraints on the base stations …

Interdisciplinary research is fuelling a paradigm shift to endow technology-based services
with a personalised dimension. The main contributors for such innovatory change are the …

In this paper, we consider two probabilistic constrained approaches for clustering in multi-
Cell wireless networks, namely a β-Fractile and a β-Risk modeling approaches. The …