PDRAS: Priority-Based Dynamic Resource Allocation Scheme in 5G Network Slicing

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In 5G network slicing environments, if insufficient resources are allocated to the associated resource-intensive service slices, its quality of service (QoS) can be considerably degraded. In this paper, we propose a priority-based dynamic resource allocation scheme (PDRAS), in which a resource management agent maintains slicing information such as priorities, demand profiles, and average resource adjustment time to change allocated resources to slices. To maximize QoS of slices while maintaining the total amount of allocated resources below a certain level, a constrained Markov decision process problem is formulated and the optimal allocation policy is obtained using linear programming. Extensive evaluation results demonstrate that PDRAS with the optimal policy has better performance regarding QoS and the resource usage efficiency compared with other schemes.

Original languageEnglish
Article number68
JournalJournal of Network and Systems Management
Volume30
Issue number4
DOIs
Publication statusPublished - 2022 Oct

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Constrained Markov decision process
  • Network slicing
  • Quality of service
  • Resource allocation

ASJC Scopus subject areas

  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Strategy and Management

Fingerprint

Dive into the research topics of 'PDRAS: Priority-Based Dynamic Resource Allocation Scheme in 5G Network Slicing'. Together they form a unique fingerprint.

Cite this