The University of Southampton
University of Southampton Institutional Repository

Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks

Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks
Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks
Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem by enabling the delivery of futuristic services through satellite-terrestrial integrated networks (STINs). As the number of subscribers connected to STINs increases, it becomes necessary to investigate whether the edge computing paradigm may be applied to low Earth orbit satellite (LEOS) networks for supporting computation-intensive and delay-sensitive services for anyone, anywhere, and at any time. Inspired by this research dilemma, we investigate a LEOS edge-assisted multilayer multi-access edge computing (MEC) system. In this system, the MEC philosophy will be extended to LEOS, for defining the LEOS edge, in order to enhance the coverage of the multi-layer MEC system and address the users’ computing problems both in congested and isolated areas. We then design its operating offloading framework and explore its feasible implementation methodologies. In this context, we formulate a joint optimization problem for the associated communication and computation resource allocation for minimizing the overall energy dissipation of our LEOS edge-assisted multi-layer MEC system while maintaining a low computing latency. To solve the optimization problem effectively, we adopt the classic alternating optimization (AO) method for decomposing the original problem and then solve each sub-problem using low-complexity iterative algorithms. Finally, our numerical results show that the offloading scheme conceived achieves low computing latency and energy dissipation compared to the state-of-the-art solutions, a single layer MEC supported by LEOS or base stations (BS).
6G, LEO satellite, Satellite-terrestrial integrated network, multi-access edge computing
1558-0008
381 - 398
Cao, Xuelin
5f8520a8-3869-476c-9a07-8edff001e305
Yang, Bo
c4074eb6-2d1e-49f1-a593-dcd90dba93e3
Shen, Yulong
658a4123-473d-4d0f-b43a-75d22f25ee9a
Yuen, Chau
1b26b32e-5822-4bf8-b39b-2ea02385037d
Zhang, Yan
cf623018-17af-4776-84d5-f592e54c33ca
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Cao, Xuelin
5f8520a8-3869-476c-9a07-8edff001e305
Yang, Bo
c4074eb6-2d1e-49f1-a593-dcd90dba93e3
Shen, Yulong
658a4123-473d-4d0f-b43a-75d22f25ee9a
Yuen, Chau
1b26b32e-5822-4bf8-b39b-2ea02385037d
Zhang, Yan
cf623018-17af-4776-84d5-f592e54c33ca
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Cao, Xuelin, Yang, Bo, Shen, Yulong, Yuen, Chau, Zhang, Yan, Han, Zhu, Poor, H. Vincent and Hanzo, Lajos (2023) Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks. IEEE Journal on Selected Areas in Communications, 41 (2), 381 - 398. (doi:10.1109/JSAC.2022.3227032).

Record type: Article

Abstract

Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem by enabling the delivery of futuristic services through satellite-terrestrial integrated networks (STINs). As the number of subscribers connected to STINs increases, it becomes necessary to investigate whether the edge computing paradigm may be applied to low Earth orbit satellite (LEOS) networks for supporting computation-intensive and delay-sensitive services for anyone, anywhere, and at any time. Inspired by this research dilemma, we investigate a LEOS edge-assisted multilayer multi-access edge computing (MEC) system. In this system, the MEC philosophy will be extended to LEOS, for defining the LEOS edge, in order to enhance the coverage of the multi-layer MEC system and address the users’ computing problems both in congested and isolated areas. We then design its operating offloading framework and explore its feasible implementation methodologies. In this context, we formulate a joint optimization problem for the associated communication and computation resource allocation for minimizing the overall energy dissipation of our LEOS edge-assisted multi-layer MEC system while maintaining a low computing latency. To solve the optimization problem effectively, we adopt the classic alternating optimization (AO) method for decomposing the original problem and then solve each sub-problem using low-complexity iterative algorithms. Finally, our numerical results show that the offloading scheme conceived achieves low computing latency and energy dissipation compared to the state-of-the-art solutions, a single layer MEC supported by LEOS or base stations (BS).

Text
Edge-Assisted Multi-Layer Offloading Optimization of LEO Satellite-Terrestrial Integrated Networks - Accepted Manuscript
Download (6MB)

More information

Accepted/In Press date: 25 October 2022
e-pub ahead of print date: 9 December 2022
Published date: 1 February 2023
Additional Information: Funding Information: The work of Bo Yang was supported in part by the National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas). The work of Yulong Shen was supported in part by the National Key Research and Development Program of China under Grant 2018YFE0207600, in part by the National Natural Science Foundation of China under Grant 61972308, and in part by the Natural Science Basic Research Program of Shaanxi under Grant 2019JC-17. The work of Chau Yuen was supported in part by the Ministry of Education, Singapore, through MOE Tier 2, under Award MOE-T2EP50220-0019. The work of Zhu Han was supported in part by the U.S. National Science Foundation under Grant CNS-2107216, Grant CNS-2128368, and Grant CMMI-2222810. The work of H. Vincent Poor was supported in part by the U.S. National Science Foundation under Grant CNS-2128448. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council Projects under Grant EP/W016605/1 and Grant EP/P003990/1 (COALESCE) and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028. Publisher Copyright: © 1983-2012 IEEE.
Keywords: 6G, LEO satellite, Satellite-terrestrial integrated network, multi-access edge computing

Identifiers

Local EPrints ID: 472346
URI: http://eprints.soton.ac.uk/id/eprint/472346
ISSN: 1558-0008
PURE UUID: 714a6bd3-8ff1-4247-822c-add523c4834c
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 01 Dec 2022 17:57
Last modified: 18 Mar 2024 05:15

Export record

Altmetrics

Contributors

Author: Xuelin Cao
Author: Bo Yang
Author: Yulong Shen
Author: Chau Yuen
Author: Yan Zhang
Author: Zhu Han
Author: H. Vincent Poor
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×