Lee, Ying Loong, Chuah, Teong Chee, Loo, Jonathan and Ke, Feng (2024) Proportional-fair uplink resource allocation with statistical QoS provisioning for RAN slicing. Physical Communication, 65. p. 102389. ISSN 18744907

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Abstract

This paper investigates the uplink resource allocation issue for radio access network (RAN) slicing with a focus on three primary fifth generation (5G) use cases, namely ultra-reliable low-latency communications (uRLLC), enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC). Most of the existing resource allocation schemes for RAN slicing were designed to address the use cases in downlink communications. However, these schemes are not applicable to the uplink RAN slicing, even though the primary use cases also entail stringent requirements in the uplink. To this end, we aim to develop a new, fairness-aware uplink resource allocation scheme for RAN slicing, catering to the three 5G use cases. Firstly, we formulate a new uplink resource allocation optimization problem that maximizes a sum logarithmic utility for ensuring proportional-fair effective capacity distribution and resource allocation among RAN slices, subject to the distinct quality of service (QoS) requirements of the uRLLC, eMBB and mMTC slices. Then, an efficient, hierarchical resource allocation framework is then proposed to solve the problem deterministically, whereby resource block assignment is first performed at the base station via a demand-oriented greedy algorithm, followed by power allocation using a bisection method at individual user equipment. Results show that the proposed scheme outperforms the baseline schemes with fairness and QoS provisioning performance gains of up to 44.3% and 19.17% respectively.

Item Type:	Article
Identifier:	10.1016/j.phycom.2024.102389
Additional Information:	** Article version: AM ** Embargo end date: 23-05-2026 ** From Elsevier via Jisc Publications Router ** History: accepted 12-05-2024; epub 23-05-2024; issued 31-08-2024. ** Licence for AM version of this article starting on 23-05-2026: http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects:	Computing
SWORD Depositor:	Jisc Router
Depositing User:	Jisc Router
Date Deposited:	18 Sep 2024 05:42
Last Modified:	02 Oct 2024 10:58
URI:	https://repository.uwl.ac.uk/id/eprint/11951

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