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 …

The introduction of the Internet of Things (IoT) and massive machine-type communications
has implied an increase in network size and complexity. In particular, there is already a huge …

Mobile networks are generating a huge amount of data in the form of network measurements
as well as network control and management interactions, and 5G is expected to make it …

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

This manuscript presents our main contributions on how technology can be used to improve
educational practices in higher education. We have addressed three main challenges. First …

In this paper, we report on some perspectives we give on how to create a viable Evolution
Path towards Self-Managing Future Internet via a “standardizable" and commonly-shared …

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 …

Firewalls are a critical part in any security frame-work. Most firewalls consist of a large
amount of sequential rules that are unstructured and confusing. Unfortunately, because a lot …

In this paper we report an insight of our experiences gained in devising a methodology for
validating Scenarios demonstrating autonomic/self-managing network behaviors required in …