The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Traditional anomaly detection and diagnosis framework of cellular network is on purpose to
optimize KPIs (Key Performance Indicators). However, cellular network operators are now …

The explosive growth of data volume in mobile networks makes fast online diagnose a
pressing search problem. In this paper, an object-oriented detection framework with a two …

With rising capacity demand in mobile networks, the infrastructure is also becoming
increasingly denser and complex. This results in collection of larger amount of raw data (big …

With the evolution of automation and artificial intelligence tools, mobile networks
havebecome more and more machine reliant. Today, a large part of their management tasks …

Mobile communication providers continuously collect many parameters, statistics, and key
performance indicators (KPIs) with the goal of identifying operation scenarios that can affect …

Broadband connectivity and mobile technology have been widely applied in the world. With
these advanced technologies, the proliferation of smart devices and their applications by …

Telecommunication networks are designed for high reliability; however, when they do fail, it
is difficult to detect and diagnose problems in a timely manner as the networks are …

Anomaly Detection (AD) is a promising new approach for quality control in eg operational
telecommunications and data networks. In this paper we have applied Supervised Machine …

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