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Near real-time estimation of end-to-end performance in converged fixed-mobile networks

Author
Bernal, A.; Richart, M.; Ruiz, M.; Castro, A.; Velasco, L.
Type of activity
Journal article
Journal
Computer communications
Date of publication
2020-01-15
Volume
150
First page
393
Last page
404
DOI
10.1016/j.comcom.2019.11.052
Project funding
CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimization
METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency
Repository
http://hdl.handle.net/2117/175328 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S014036641930800X Open in new window
Abstract
The independent operation of mobile and fixed network segments is one of the main barriers that prevents improving network performance while reducing capital expenditures coming from overprovisioning. In particular, a coordinated dynamic network operation of both network segments is essential to guarantee end-to-end Key Performance Indicators (KPI), on which new network services rely on. To achieve such dynamic operation, accurate estimation of end-to-end KPIs is needed to trigger network reconf...
Citation
Bernal, A. [et al.]. Near real-time estimation of end-to-end performance in converged fixed-mobile networks. "Computer communications", 15 Gener 2020, vol. 150, p. 393-404.
Keywords
Converged fixed-mobile networks, Real-time KPI estimation, Shared medium modeling
Group of research
GCO - Optical Communications Group

Participants