Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System

Nway Nway Ei; Ji Su Yoon; Choong Seon Hong

doi:10.23919/APNOMS56106.2022.9919955

Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System

Nway Nway Ei, Ji Su Yoon, Choong Seon Hong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Space-aerial-assisted multi-access edge computing (SA-MEC) has recently been a promising solution to offer the ubiquitous communication and computing services to the resource-constrained internet of things (IoT) devices. Particularly, low earth orbit satellites (LEOSats) and unmanned aerial vehicles (UAVs) having the computing resources onboard assist those devices to compute their generated tasks with the minimum delay under the energy budget. However, due to the existence of inter-cell interference among the devices, they may consume more energy or incur longer delay to offload the tasks to the UAVs. Therefore, the optimal task offloading and resource (channels) allocation should be determined without dissipating much energy and overloading the UAVs. In this work, BCD-based task offloading and resource allocation scheme is proposed to minimize the total task completion latency of the devices by considering the scarce communication resources and energy limitation of devices and UAVs.

Original language	English
Title of host publication	APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium
Subtitle of host publication	Data-Driven Intelligent Management in the Era of beyond 5G
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784885523397
DOIs	https://doi.org/10.23919/APNOMS56106.2022.9919955
Publication status	Published - 2022
Event	23rd Asia-Pacific Network Operations and Management Symposium, APNOMS 2022 - Takamatsu, Japan Duration: 28 Sept 2022 → 30 Sept 2022

Publication series

Name	APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G

Conference

Conference	23rd Asia-Pacific Network Operations and Management Symposium, APNOMS 2022
Country/Territory	Japan
City	Takamatsu
Period	28/09/22 → 30/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEICE.

Keywords

Low earth orbit satellites
block coordinate descent
multi-access edge computing
unmanned aerial vehicles

Access to Document

10.23919/APNOMS56106.2022.9919955

Cite this

Ei, N. N., Yoon, J. S., & Hong, C. S. (2022). Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System. In APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G (APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APNOMS56106.2022.9919955

Ei, Nway Nway ; Yoon, Ji Su ; Hong, Choong Seon. / Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System. APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G. Institute of Electrical and Electronics Engineers Inc., 2022. (APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G).

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title = "Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System",

abstract = "Space-aerial-assisted multi-access edge computing (SA-MEC) has recently been a promising solution to offer the ubiquitous communication and computing services to the resource-constrained internet of things (IoT) devices. Particularly, low earth orbit satellites (LEOSats) and unmanned aerial vehicles (UAVs) having the computing resources onboard assist those devices to compute their generated tasks with the minimum delay under the energy budget. However, due to the existence of inter-cell interference among the devices, they may consume more energy or incur longer delay to offload the tasks to the UAVs. Therefore, the optimal task offloading and resource (channels) allocation should be determined without dissipating much energy and overloading the UAVs. In this work, BCD-based task offloading and resource allocation scheme is proposed to minimize the total task completion latency of the devices by considering the scarce communication resources and energy limitation of devices and UAVs.",

keywords = "Low earth orbit satellites, block coordinate descent, multi-access edge computing, unmanned aerial vehicles",

author = "Ei, {Nway Nway} and Yoon, {Ji Su} and Hong, {Choong Seon}",

note = "Publisher Copyright: {\textcopyright} 2022 IEICE.; 23rd Asia-Pacific Network Operations and Management Symposium, APNOMS 2022 ; Conference date: 28-09-2022 Through 30-09-2022",

year = "2022",

doi = "10.23919/APNOMS56106.2022.9919955",

language = "English",

series = "APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G",

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Ei, NN, Yoon, JS & Hong, CS 2022, Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System. in APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G. APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G, Institute of Electrical and Electronics Engineers Inc., 23rd Asia-Pacific Network Operations and Management Symposium, APNOMS 2022, Takamatsu, Japan, 28/09/22. https://doi.org/10.23919/APNOMS56106.2022.9919955

Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System. / Ei, Nway Nway; Yoon, Ji Su; Hong, Choong Seon.
APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G. Institute of Electrical and Electronics Engineers Inc., 2022. (APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System

AU - Ei, Nway Nway

AU - Yoon, Ji Su

AU - Hong, Choong Seon

PY - 2022

Y1 - 2022

N2 - Space-aerial-assisted multi-access edge computing (SA-MEC) has recently been a promising solution to offer the ubiquitous communication and computing services to the resource-constrained internet of things (IoT) devices. Particularly, low earth orbit satellites (LEOSats) and unmanned aerial vehicles (UAVs) having the computing resources onboard assist those devices to compute their generated tasks with the minimum delay under the energy budget. However, due to the existence of inter-cell interference among the devices, they may consume more energy or incur longer delay to offload the tasks to the UAVs. Therefore, the optimal task offloading and resource (channels) allocation should be determined without dissipating much energy and overloading the UAVs. In this work, BCD-based task offloading and resource allocation scheme is proposed to minimize the total task completion latency of the devices by considering the scarce communication resources and energy limitation of devices and UAVs.

AB - Space-aerial-assisted multi-access edge computing (SA-MEC) has recently been a promising solution to offer the ubiquitous communication and computing services to the resource-constrained internet of things (IoT) devices. Particularly, low earth orbit satellites (LEOSats) and unmanned aerial vehicles (UAVs) having the computing resources onboard assist those devices to compute their generated tasks with the minimum delay under the energy budget. However, due to the existence of inter-cell interference among the devices, they may consume more energy or incur longer delay to offload the tasks to the UAVs. Therefore, the optimal task offloading and resource (channels) allocation should be determined without dissipating much energy and overloading the UAVs. In this work, BCD-based task offloading and resource allocation scheme is proposed to minimize the total task completion latency of the devices by considering the scarce communication resources and energy limitation of devices and UAVs.

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KW - block coordinate descent

KW - multi-access edge computing

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 28 September 2022 through 30 September 2022

ER -

Ei NN, Yoon JS, Hong CS. Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System. In APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G. Institute of Electrical and Electronics Engineers Inc. 2022. (APNOMS 2022 - 23rd Asia-Pacific Network Operations and Management Symposium: Data-Driven Intelligent Management in the Era of beyond 5G). doi: 10.23919/APNOMS56106.2022.9919955

Energy-Aware Task Offloading and Resource Allocation in Space-Aerial-Integrated MEC System

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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