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 …

This paper surveys the literature relating to the application of machine learning to fault
management in cellular networks from an operational perspective. We summarise the main …

How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in
cellular network management. We present CellPAD, a unified performance anomaly …

With the advent of IoT and the seamless advent of the ubiquitous network using the 5G
technologies, the ability to provide a continuous service is the requirement of every Internet …

Self-organizing network (SON) is a well-known approach to reduce the complexity and the
cost of cellular network management. It aims at replacing the manual configuration and …

In this paper, we suggest a new research direction and a future vision for Self-Healing (SH)
in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH …

This article presents an automatic malfunction detection framework based on data mining
approach to analysis of network event sequences. The considered environment is long term …

We apply deep learning techniques to the sleeping cell problem, in order to achieve greater
detection sensitivity than previously reported. We use a deep recurrent Neural Network …

The Self-Organizing Networks (SON) concept is increasingly being used as an approach for
managing complex, dynamic mobile radio networks. In this paper we focus on the …

In operations of increasingly complex telecommunication networks, characterization of a
system state and choosing optimal operation in it are challenges. One possible approach is …