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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
dysfunctional serving nodes
biblio
QoE-Driven Anomaly Detection in Self-Organizing Mobile Networks Using Machine Learning
Submitted by grigby1 on Mon, 02/17/2020 - 4:14pm
ns-3
user-centric approach
telecommunication computing
system model
SON
self-organizing mobile networks
self-healing networks
Resiliency
resilience
quality of experience
QoE-driven anomaly detection
qoe
pubcrawl
Predictive models
parametric QoE model
ns-3 network simulator
Anomaly Detection
network-centric approaches
network scenario
mobile radio
mobile computing
machine learning
learning (artificial intelligence)
green mobile communication networks
end-user experience
dysfunctional serving nodes
dysfunctional serving eNodeBs
Decision trees
Data models
Computational modeling
composability
