Resource allocation in an open RAN system using network slicing |
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Author: | Motalleb, Mojdeh Karbalaee1; Shah-Mansouri, Vahid1; Parsaeefard, Saeedeh2; |
Organizations: |
1School of ECE, University of Tehran, Tehran, Iran 2Department of Electrical Engineering, University of Toronto, Toronto, Canada 3Centre for Wireless Communications, University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023040434986 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2023-04-04 |
Description: |
AbstractThe next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more flexibility and openness, including efficient service slicing, and to lower the operational costs in 5G and beyond wireless networks. Nevertheless, strictly satisfying quality-of-service requirements while establishing priorities and promoting balance between the significantly heterogeneous services remains a key research problem. In this paper, we use network slicing to study the service-aware baseband resource allocation and virtual network function (VNF) activation in O-RAN systems. The limited fronthaul capacity and end-to-end delay constraints are simultaneously considered. Optimizing baseband resources includes O-RAN radio unit (O-RU), physical resource block (PRB) assignment, and power allocation. The main problem is a mixed-integer non-linear programming problem that is non-trivial to solve. Consequently, we break it down into two different steps and propose an iterative algorithm that finds a near-optimal solution. In the first step, we reformulate and simplify the problem to find the power allocation, PRB assignment, and the number of VNFs. In the second step, the O-RU association is resolved. The proposed method is validated via simulations, which achieve a higher data rate and lower end-to-end delay than existing methods. see all
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Series: |
IEEE transactions on network and service management |
ISSN: | 2373-7379 |
ISSN-E: | 1932-4537 |
ISSN-L: | 2373-7379 |
Volume: | 20 |
Issue: | 1 |
Pages: | 471 - 485 |
DOI: | 10.1109/TNSM.2022.3205415 |
OADOI: | https://oadoi.org/10.1109/TNSM.2022.3205415 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
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