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 cellular network operators spend nearly a quarter of their revenue on network
management and maintenance. Incidentally, a significant proportion of that budget is spent …

With accurate traffic prediction, future cellular networks can make self-management and
embrace intelligent and efficient automation. This letter devotes itself to citywide cellular …

As the complexity of commercial cellular networks grows, there is an increasing need for
automated methods detecting and diagnosing cells not only in complete outage but with …

Among the smart capabilities promised by the next generation cellular networks (5G and
beyond), it is fundamental that potential network anomalies are detected and timely treated …

Abstract Distributed Denial of Services (DDoS) attacks are among the most encountered
cyber criminal activities in communication networks that can result in considerable financial …

The Self-Organizing Networks (SON) concept includes the functional area known as self-
healing, which aims to automate the detection and diagnosis of, and recovery from, network …

In the recent years, the research community has increased its focus on network monitoring
which is seen as a key tool to understand the Internet and the Internet users. Several studies …

The monitoring and management of high-volume feature-rich traffic in large networks offers
significant challenges in storage, transmission, and computational costs. The predominant …

With the explosive growth of ubiquitous mobile services and the advent of the 5G era, ultra‐
dense wireless network (UDN) architectures have entered daily production and life …