Utility analysis of radio access network slicing
Utility analysis of radio access network slicing
The utility optimization problem of radio access network-slicing aided mobile systems is formulated considering both throughput and delay demands from a mobile network operator's perspective, whilst relying on stochastic geometry and Lyapunov optimization. Then a joint virtual resource optimization algorithm is proposed to dynamically allocate both virtual spectral and the power resources. Our numerical results support both the high-throughput slice and the low-delay slice and quantify the associated throughput vs. delay trade-off. Moreover, we compare the proposed algorithm with the benchmark one, which ensures better utility.
Lyapunov optimization, Radio access network slicing, stochastic geometry, utility
1163-1167
Zhou, Guorong
dfe003c2-42dc-4cef-a657-27ac6f8cdf8f
Zhao, Liqiang
d0233b4f-33d7-41db-9cb9-2db1acfbd93d
Liang, Kai
eca780a1-60c0-48b2-850c-e4848f1d7369
Zheng, Gan
a6373de1-ced0-4e26-96bc-a839c0866633
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
January 2020
Zhou, Guorong
dfe003c2-42dc-4cef-a657-27ac6f8cdf8f
Zhao, Liqiang
d0233b4f-33d7-41db-9cb9-2db1acfbd93d
Liang, Kai
eca780a1-60c0-48b2-850c-e4848f1d7369
Zheng, Gan
a6373de1-ced0-4e26-96bc-a839c0866633
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhou, Guorong, Zhao, Liqiang, Liang, Kai, Zheng, Gan and Hanzo, Lajos
(2020)
Utility analysis of radio access network slicing.
IEEE Transactions on Vehicular Technology, 69 (1), , [8894515].
(doi:10.1109/TVT.2019.2952216).
Abstract
The utility optimization problem of radio access network-slicing aided mobile systems is formulated considering both throughput and delay demands from a mobile network operator's perspective, whilst relying on stochastic geometry and Lyapunov optimization. Then a joint virtual resource optimization algorithm is proposed to dynamically allocate both virtual spectral and the power resources. Our numerical results support both the high-throughput slice and the low-delay slice and quantify the associated throughput vs. delay trade-off. Moreover, we compare the proposed algorithm with the benchmark one, which ensures better utility.
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final-clean
- Accepted Manuscript
More information
Accepted/In Press date: 31 October 2019
e-pub ahead of print date: 8 November 2019
Published date: January 2020
Additional Information:
Funding Information:
Manuscript received April 9, 2019; revised September 14, 2019; accepted October 31, 2019. Date of publication November 8, 2019; date of current version January 15, 2020. This work was supported in part by the National Natural Science Foundation of China (61771358), in part by the National Natural Science Foundation of Shaanxi Province (2018JM6052), and in part by the 111 Project (B08038). The work of L. Hanzo was supported by the Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/PO34284/1, and COALESCE of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. The review of this article was coordinated by Dr. B. Natarajan. (Corresponding author: Lajos Hanzo.) G. Zhou, L. Zhao, and K. Liang are with the State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China (e-mail: guor_zhou@163.com; lqzhao@mail.xidian.edu.cn; kliang@xidian.edu.cn).
Publisher Copyright:
© 1967-2012 IEEE.
Keywords:
Lyapunov optimization, Radio access network slicing, stochastic geometry, utility
Identifiers
Local EPrints ID: 435464
URI: http://eprints.soton.ac.uk/id/eprint/435464
ISSN: 0018-9545
PURE UUID: 7acbc0de-7e7c-41c2-9897-af5a48130817
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Date deposited: 07 Nov 2019 17:30
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Guorong Zhou
Author:
Liqiang Zhao
Author:
Kai Liang
Author:
Gan Zheng
Author:
Lajos Hanzo
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