Topology and Energy Aware Approximate Algorithm for QoS-Based Resource Slicing in 5G Core Networks

This paper proposes a multi-objective optimization framework for network function virtualization (NFV) resource assignment in 5G core networks, targeting the minimization of both resource cost and server energy consumption subject to stringent quality of service (QoS) constraints for diverse service...

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Veröffentlicht in:	IEEE access Jg. 13; S. 176885 - 176900
Hauptverfasser:	Sargolzaei, Ehsan, Rasti, Mehdi, Khorsandi, Siavash
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	5G mobile communication Algorithms Approximation algorithms Bandwidths Central processing units Constraints Costs CPUs Delays Energy consumption Energy costs Heuristic algorithms Mixed integer Multiple objective analysis Network function virtualization network slicing Nonlinear programming Optimization Quality of service resource assignment Resource management Servers Statistical analysis Topology virtual network functions Virtual networks
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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