Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems

Jianbo Du; Nana Xue; Daosen Zhai; Haotong Cao; Jie Feng; Guangyue Lu

doi:10.1109/GCWkshps50303.2020.9367499

Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems

Jianbo Du
, Nana Xue
, Daosen Zhai
, Haotong Cao
, Jie Feng
, Guangyue Lu

School of Electronics and Information

Xi'an Institute of Posts and Telecommunications
Nanjing University of Posts and Telecommunications
Xidian University

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

6 Scopus citations

Abstract

Recent years, mobile edge computing (MEC) has appeared as a promising technology for delay and energy minimization, and nonorthogonal multiple access (NOMA) has been recognized as a powerful solution to improving spectrum efficiency and system capacity. In order to capture the gains of the both, in this paper, we study the energy minimization issues in a NOMA based MEC system, and formulate an optimization problem via optimizing the user clustering, computation resource allocation, and transmit power control, with task processing latency deadline guaranteed. To solve the intractable problem, we first propose a heuristic algorithm to obtain user clustering and computation resource allocation. And then, based on a swarm intelligence algorithm, i.e., fireworks algorithm (FA), we propose a low-complexity scheme for transmit power control optimization. Simulation results demonstrate that our proposed algorithms could reduce the system energy consumption effectively compared with other existing schemes.

Original language	English
Title of host publication	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173078
DOIs	https://doi.org/10.1109/GCWkshps50303.2020.9367499
State	Published - Dec 2020
Event	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Virtual, Taipei, Taiwan, Province of China Duration: 7 Dec 2020 → 11 Dec 2020

Publication series

Name	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

Conference

Conference	2020 IEEE Globecom Workshops, GC Wkshps 2020
Country/Territory	Taiwan, Province of China
City	Virtual, Taipei
Period	7/12/20 → 11/12/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Mobile edge computing
NOMA
fireworks algorithm
resource allocation

Access to Document

10.1109/GCWkshps50303.2020.9367499

Cite this

Du, J., Xue, N., Zhai, D., Cao, H., Feng, J., & Lu, G. (2020). Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems. In 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Article 367499 (2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps50303.2020.9367499

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title = "Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems",

abstract = "Recent years, mobile edge computing (MEC) has appeared as a promising technology for delay and energy minimization, and nonorthogonal multiple access (NOMA) has been recognized as a powerful solution to improving spectrum efficiency and system capacity. In order to capture the gains of the both, in this paper, we study the energy minimization issues in a NOMA based MEC system, and formulate an optimization problem via optimizing the user clustering, computation resource allocation, and transmit power control, with task processing latency deadline guaranteed. To solve the intractable problem, we first propose a heuristic algorithm to obtain user clustering and computation resource allocation. And then, based on a swarm intelligence algorithm, i.e., fireworks algorithm (FA), we propose a low-complexity scheme for transmit power control optimization. Simulation results demonstrate that our proposed algorithms could reduce the system energy consumption effectively compared with other existing schemes.",

keywords = "Mobile edge computing, NOMA, fireworks algorithm, resource allocation",

author = "Jianbo Du and Nana Xue and Daosen Zhai and Haotong Cao and Jie Feng and Guangyue Lu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Globecom Workshops, GC Wkshps 2020 ; Conference date: 07-12-2020 Through 11-12-2020",

year = "2020",

month = dec,

doi = "10.1109/GCWkshps50303.2020.9367499",

language = "英语",

series = "2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Du, J, Xue, N, Zhai, D, Cao, H, Feng, J & Lu, G 2020, Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems. in 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings., 367499, 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, Province of China, 7/12/20. https://doi.org/10.1109/GCWkshps50303.2020.9367499

Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems. / Du, Jianbo; Xue, Nana; Zhai, Daosen et al.
2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 367499 (2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings).

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

TY - GEN

T1 - Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems

AU - Du, Jianbo

AU - Xue, Nana

AU - Zhai, Daosen

AU - Cao, Haotong

AU - Feng, Jie

AU - Lu, Guangyue

PY - 2020/12

Y1 - 2020/12

N2 - Recent years, mobile edge computing (MEC) has appeared as a promising technology for delay and energy minimization, and nonorthogonal multiple access (NOMA) has been recognized as a powerful solution to improving spectrum efficiency and system capacity. In order to capture the gains of the both, in this paper, we study the energy minimization issues in a NOMA based MEC system, and formulate an optimization problem via optimizing the user clustering, computation resource allocation, and transmit power control, with task processing latency deadline guaranteed. To solve the intractable problem, we first propose a heuristic algorithm to obtain user clustering and computation resource allocation. And then, based on a swarm intelligence algorithm, i.e., fireworks algorithm (FA), we propose a low-complexity scheme for transmit power control optimization. Simulation results demonstrate that our proposed algorithms could reduce the system energy consumption effectively compared with other existing schemes.

AB - Recent years, mobile edge computing (MEC) has appeared as a promising technology for delay and energy minimization, and nonorthogonal multiple access (NOMA) has been recognized as a powerful solution to improving spectrum efficiency and system capacity. In order to capture the gains of the both, in this paper, we study the energy minimization issues in a NOMA based MEC system, and formulate an optimization problem via optimizing the user clustering, computation resource allocation, and transmit power control, with task processing latency deadline guaranteed. To solve the intractable problem, we first propose a heuristic algorithm to obtain user clustering and computation resource allocation. And then, based on a swarm intelligence algorithm, i.e., fireworks algorithm (FA), we propose a low-complexity scheme for transmit power control optimization. Simulation results demonstrate that our proposed algorithms could reduce the system energy consumption effectively compared with other existing schemes.

KW - Mobile edge computing

KW - NOMA

KW - fireworks algorithm

KW - resource allocation

UR - https://www.scopus.com/pages/publications/85102963036

U2 - 10.1109/GCWkshps50303.2020.9367499

DO - 10.1109/GCWkshps50303.2020.9367499

M3 - 会议稿件

AN - SCOPUS:85102963036

T3 - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

BT - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Globecom Workshops, GC Wkshps 2020

Y2 - 7 December 2020 through 11 December 2020

ER -

Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems

Abstract

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UN SDGs

Keywords

Access to Document

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