Cell fault management using machine learning techniques
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 …
management in cellular networks from an operational perspective. We summarise the main …
An automatic detection and diagnosis framework for mobile communication systems
P Szilágyi, S Nováczki - IEEE transactions on Network and …, 2012 - ieeexplore.ieee.org
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 …
automated methods detecting and diagnosing cells not only in complete outage but with …
A unified framework for self-healing in wireless networks
Future wireless networks will be Heterogeneous Networks (HetNet), as they will comprise
multiple Radio Access Technologies (RAT) and network architectures. The complexity of …
multiple Radio Access Technologies (RAT) and network architectures. The complexity of …
Automatic fault detection and diagnosis in cellular networks using operations support systems data
Self-Healing is one of the key important functionalities in self-organizing mobile
communication networks. Despite its importance, self-healing has yet to receive a deserving …
communication networks. Despite its importance, self-healing has yet to receive a deserving …
Methodology for the design and evaluation of self-healing LTE networks
Self-healing networks aim to detect cells with service degradation, identify the fault cause of
their problem, and execute compensation and repair actions. The development of this type …
their problem, and execute compensation and repair actions. The development of this type …
Mitigating the latency-accuracy trade-off in mobile data analytics systems
An increasing amount of mobile analytics is performed on data that is procured in a real-time
fashion to make real-time decisions. Such tasks include simple reporting on streams to …
fashion to make real-time decisions. Such tasks include simple reporting on streams to …
Root cause analysis based on temporal analysis of metrics toward self-organizing 5G networks
By 2020, mobile networks will support a wide range of communication services while at the
same time, the number of user terminals will be enormous. To cope with such increased …
same time, the number of user terminals will be enormous. To cope with such increased …
Data analytics for diagnosing the RF condition in self-organizing networks
The current trend in the management of mobile communication networks is to increase the
level of automation in order to enhance network performance while reducing Operational …
level of automation in order to enhance network performance while reducing Operational …
Automating diagnosis of cellular radio access network problems
In an increasingly mobile connected world, our user experience of mobile applications more
and more depends on the performance of cellular radio access networks (RAN). To achieve …
and more depends on the performance of cellular radio access networks (RAN). To achieve …
Machine learning based automatic diagnosis in mobile communication networks
KM Chen, TH Chang, KC Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The self-healing function in self-organizing networks can not only detect the presence of
fault conditions but also diagnose the root causes in a fully autonomous fashion. In this …
fault conditions but also diagnose the root causes in a fully autonomous fashion. In this …