In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …

Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

A neural network (NN) approach is proposed in this paper to optimize the operation of
cellular networks. First, we derive an analytical equation to establish the effect of essential …

This work gives a brief overview of handoff technology and how it is useful in the field of
cellular communication. The work touches upon the differences and similarities between soft …

Recent advancement in information and communication has witnessed the involvement and
application of embedded system in mobile communications and Internet of Things (IoT) …

The next generation mobile networks (NGMNs) are envisioned to overcome current user
mobility limitations while improving the network performance. Some of the limitations …

Abstract 5G is expected to be commercially rolled out by 2020 and targets challenging KPI
requirements. Due to the increased complexity of the mobile networks, meeting the …

The next generations of mobile networks 5G and beyond, must overcome current networks
limitations as well as improve network performance. Some of the requirements envisioned …

Several studies on machine learning (ML) based self-organizing networks (SONs) have
been conducted, specifically for LTE, since studies to apply ML to optimize mobile …