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 …
Anomaly detection for cellular networks using big data analytics
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 …
these advanced technologies, the proliferation of smart devices and their applications by …
CellPAD: Detecting performance anomalies in cellular networks via regression analysis
How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in
cellular network management. We present CellPAD, a unified performance anomaly …
cellular network management. We present CellPAD, a unified performance anomaly …
Improved self-healing technique for 5G networks using predictive analysis
TR Reshmi, M Azath - Peer-to-Peer Networking and Applications, 2021 - Springer
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 …
technologies, the ability to provide a continuous service is the requirement of every Internet …
Anomaly detection and classification in cellular networks using automatic labeling technique for applying supervised learning
SMA Al Mamun, J Valimaki - Procedia Computer Science, 2018 - Elsevier
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 …
telecommunications and data networks. In this paper we have applied Supervised Machine …
A survey of self-coordination in self-organizing network
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 …
cost of cellular network management. It aims at replacing the manual configuration and …
A hybrid deep learning-based (HYDRA) framework for multifault diagnosis using sparse MDT reports
Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular
network has motivated research towards artificial intelligence (AI)-based fault diagnosis …
network has motivated research towards artificial intelligence (AI)-based fault diagnosis …
Towards proactive context-aware self-healing for 5G networks
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 …
in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH …
Anomaly detection and diagnosis for automatic radio network verification
GF Ciocarlie, C Connolly, CC Cheng… - Mobile Networks and …, 2015 - Springer
The concept known as Self-Organizing Networks (SON) has been developed for modern
radio networks that deliver mobile broadband capabilities. In such highly complex and …
radio networks that deliver mobile broadband capabilities. In such highly complex and …
A robust algorithm for anomaly detection in mobile networks
L Bodrog, M Kajo, S Kocsis… - 2016 IEEE 27th Annual …, 2016 - ieeexplore.ieee.org
Self-Organizing Network (SON) functions aim at automating mobile network management in
three key areas: self-configuration, self-optimization and self-healing. This paper's focus is …
three key areas: self-configuration, self-optimization and self-healing. This paper's focus is …