Self-healing in emerging cellular networks: Review, challenges, and research directions

A Asghar, H Farooq, A Imran - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
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 …

Anomaly detection for cellular networks using big data analytics

B Li, S Zhao, R Zhang, Q Shi, K Yang - IET Communications, 2019 - Wiley Online Library
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 …

CellPAD: Detecting performance anomalies in cellular networks via regression analysis

J Wu, PPC Lee, Q Li, L Pan… - 2018 IFIP Networking …, 2018 - ieeexplore.ieee.org
How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in
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 …

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 …

A survey of self-coordination in self-organizing network

A Bayazeed, K Khorzom, M Aljnidi - Computer networks, 2021 - Elsevier
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 …

A hybrid deep learning-based (HYDRA) framework for multifault diagnosis using sparse MDT reports

MS Riaz, HN Qureshi, U Masood, A Rizwan… - IEEE …, 2022 - ieeexplore.ieee.org
Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular
network has motivated research towards artificial intelligence (AI)-based fault diagnosis …

Anomaly detection and diagnosis for automatic radio network verification

GF Ciocarlie, C Connolly, CC Cheng… - … Conference on Mobile …, 2014 - 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 …

LSTM recurrent neural network (RNN) for anomaly detection in cellular mobile networks

SMA Al Mamun, M Beyaz - … , MLN 2018, Paris, France, November 27–29 …, 2019 - Springer
Anomaly detection can show significant behavior changes in the cellular mobile network. It
can explain much important missing information and which can be monitored using …

Towards proactive context-aware self-healing for 5G networks

MZ Asghar, P Nieminen, S Hämäläinen, T Ristaniemi… - Computer …, 2017 - Elsevier
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 …