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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).
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, 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
Restricted to Repository staff only until 9 June 2023.
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Accepted/In Press date: 25 October 2022
e-pub ahead of print date: 9 December 2022
Published date: 1 February 2023

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

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Date deposited: 01 Dec 2022 17:57
Last modified: 01 Feb 2023 02:32

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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

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