Distributed multi-tenant RAN slicing in 5G networks

Network slicing is a promising technology in 5G networks. The key concept is to divide the physical network into multiple logical networks, that are tailored to fulfill diverse service requirements. In this paper, we propose a multi-tenant radio access network (RAN) slicing approach that enables ada...

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Bibliographic Details
Published in:Wireless networks 2022-10, Vol.28 (7), p.3185-3198
Main Authors: Awada, Zeina, Boulos, Karen, El-Helou, Melhem, Khawam, Kinda, Lahoud, Samer
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Bandwidths
Cloud computing
Communications Engineering
Computational geometry
Computer Communication Networks
Computer Science
Convex analysis
Convexity
Electrical Engineering
Engineering
Equilibrium
Infrastructure
IT in Business
Network slicing
Networking and Internet Architecture
Networks
Optimization
Original Paper
Privacy
Resource utilization
Tenants
Traffic congestion
Wireless networks
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Summary:Network slicing is a promising technology in 5G networks. The key concept is to divide the physical network into multiple logical networks, that are tailored to fulfill diverse service requirements. In this paper, we propose a multi-tenant radio access network (RAN) slicing approach that enables adaptive and isolated logical networks. We first formulate the multi-tenant RAN slicing problem as a centralized convex optimization problem that accounts for service resource requirements and ensures multi-tenant and multi-service isolation. Further, to reduce signaling load and preserve operator privacy, we portray the RAN slicing problem as a distributed non-cooperative game and prove the existence and uniqueness of a Nash equilibrium. We evaluate the efficiency of our distributed approach and then compare it with the state-of-the-art. Simulation results show that our distributed approach significantly improves resource utilization and operator satisfaction, while reducing computational complexity.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-022-03023-8