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 …

Mobile data traffic grew by 74% in 2015 and it is expected to grow eight-fold by 2020. Future
wireless networks will need to deploy massive number of small cells to cope with this …

Wireless sensor network (WSN) systems are typically composed of thousands of sensors
that are powered by limited energy resources. To extend the networks longevity, clustering …

Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …

For coordinated multipoint transmission in heterogeneous ultra dense networks (HUDN),
clustering and multicell resource scheduling should be carried out jointly. Based on the α …

Flying ad hoc network (FANET) is a self-organizing wireless network that enables
inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles …

Abstract Self-Organizing Network (SON) stands for a key concept characterizing the
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …

In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …

We are on the brink of a new era for the wireless telecommunications, an era that will
change the way that business is done. The fifth generation (5G) systems will be the first …

The characteristic feature of 5G and beyond networks is the diversity of services, which is
required to support different user needs. However, the requirements for these services are …