A survey of machine learning techniques applied to self-organizing cellular networks
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 …
algorithms applied to self-organizing cellular networks is performed. In order for future …
Self-healing in emerging cellular networks: Review, challenges, and research directions
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 …
management and maintenance. Incidentally, a significant proportion of that budget is spent …
A cell outage management framework for dense heterogeneous networks
In this paper, we present a novel cell outage management (COM) framework for
heterogeneous networks with split control and data planes-a candidate architecture for …
heterogeneous networks with split control and data planes-a candidate architecture for …
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 …
Cell outage detection based on handover statistics
This letter presents a novel cell outage detection algorithm based on incoming handovers
statistics. The main advantage of the proposed algorithm is that it uses neighbor …
statistics. The main advantage of the proposed algorithm is that it uses neighbor …
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 …
A learning‐based approach for autonomous outage detection and coverage optimization
To be able to provide uninterrupted high quality of experience to the subscribers, operators
must ensure high reliability of their networks while aiming for zero downtime. With the …
must ensure high reliability of their networks while aiming for zero downtime. With the …
Classification-based approach for cell outage detection in self-healing heterogeneous networks
W Xue, M Peng, Y Ma, H Zhang - 2014 IEEE Wireless …, 2014 - ieeexplore.ieee.org
Future mobile wireless communication networks will be featured as heterogeneity in order to
enhance network performance and improve user experience. For better adaption to network …
enhance network performance and improve user experience. For better adaption to network …
A machine learning framework for sleeping cell detection in a smart-city IoT telecommunications infrastructure
The smooth operation of largely deployed Internet of Things (IoT) applications will depend
on, among other things, effective infrastructure failure detection. Access failures in wireless …
on, among other things, effective infrastructure failure detection. Access failures in wireless …
Self‐Organized Cell Outage Detection Architecture and Approach for 5G H‐CRAN
An attractive architecture called heterogeneous cloud radio access networks (H‐CRAN)
becomes one of the important components of 5G networks, which can provide ubiquitous …
becomes one of the important components of 5G networks, which can provide ubiquitous …