In the upcoming 5G and beyond systems, ultra-reliable and low latency communication
(URLLC) has been considered as the key enabler to support diverse mission-critical …

In this article, we propose a deep reinforcement learning (DRL)-based mobility load
balancing (MLB) algorithm along with a two-layer architecture to solve the large-scale load …

It is anticipated that a considerably higher network capacity will be achieved by the fifth
generation (5G) small cell networks incorporated with the millimeter wave (mm-wave) …

Load balancing has become a key technique to handle the increasing traffic demand and
improve the user experience. It evenly distributes the traffic across network resources by …

During the past few decades, mobile wireless communications have experienced four
generations of technological revolution, namely from 1G to 4G, and the deployment of the …

In this paper, we establish a cross-layer framework for optimizing user association, packet
offloading rates, and bandwidth allocation for mission-critical Internet-of-Things (MC-IoT) …

With the rapid growth of biomedical and healthcare data, machine learning methods are
used in more and more work to predict disease risk. However, most works use single-mode …

The Internet of Things (IoT) connects numerous sensor nodes and devices, resulting in an
increase in the bandwidth and data rates. However, this has led to a surge in data-hungry …

In ultra-dense networks, the increasing popularity of computation intensive applications
imposes challenges to the resource-constrained smart mobile devices (SMDs), which may …

In the present era, smart and efficient vehicular network architectures are necessary due to
fast technological advancements in vehicles. Many problems arise in these complex …