Data-Driven Adaptive Network Slicing for Multi-Tenant Networks

Network slicing to support multi-tenancy plays a key role in improving the performance of 5G and beyond networks. In this paper, we study dynamically slicing network resources in the backhaul and Radio Access Network (RAN) prior to user demand observations across multiple tenants, where each tenant...

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Vydané v:	IEEE journal of selected topics in signal processing Ročník 16; číslo 1; s. 113 - 128
Hlavní autori:	Reyhanian, Navid, Luo, Zhi-Quan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation Approximation algorithms Costs Expected utility Group LASSO multi-tenant network Network slicing Optimization Quality of service Reconfiguration Regularization Resource management Signal processing algorithms upper-bound minimization Utilities utility maximization
ISSN:	1932-4553, 1941-0484
On-line prístup:	Získať plný text
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