Optimal QoS-Aware Allocation of Virtual Network Resources to Mixed Mobile-Optical Network Slices
Paper in proceeding, 2021

Slicing allows 5G networks to accommodate services with different needs over a unified physical network infrastructure. Particularly, in radio access networks (RANs), the baseband processing functions of different slices are treated as virtual applications running on shared compute nodes. Managing this cloud-native network in a cost-effective way requires tightly cou-pled control of connectivity and processing resources. This paper proposes an optimization problem to minimize the overall cost while guaranteeing distinct latency and reliability requirements of different network slices deployed over the infrastructure. This is achieved by choosing for each service, the functional split and transmission parameters that best adapt to the connectivity and processing resources available in the infrastructure. Results demonstrate that the proposed flexible resource allocation scheme provides considerable cost saving (up to 2.4 times) and reduced request blocking (up to 2 times) compared to conventional fixed deployment techniques. The reliability requirements can be guaranteed by packet duplication and/or virtualized forward error correction at the expense of consuming connectivity and/or processing resources, respectively. The flexible assurance of the reliability requirements in the proposed scheme contributes considerably to the achieved improvements on cost saving and request blocking.

Optical transport networks

Network Function Virtualization

5G

Functional split

Reliability

Network Slicing

Author

Mohammad Hossein Keshavarz

Sharif University of Technology

Mohammad Hadi

Sharif University of Technology

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Maryam Lashgari

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Mohammad Reza Pakravan

Sharif University of Technology

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Proceedings - IEEE Global Communications Conference, GLOBECOM

23340983 (ISSN) 25766813 (eISSN)


9781728181042 (ISBN)

2021 IEEE Global Communications Conference, GLOBECOM 2021
Madrid, Spain,

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Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

DOI

10.1109/GLOBECOM46510.2021.9685414

More information

Latest update

2/19/2024