Optimal task assignment and power allocation for downlink NOMA MEC networks

Fang Fang; Kaidi Wang; Zhiguo Ding

doi:10.1109/GCWkshps45667.2019.9024455

Optimal task assignment and power allocation for downlink NOMA MEC networks

Fang Fang
, Kaidi Wang
, Zhiguo Ding

Electrical Engineering

University of Manchester

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

9 Scopus citations

Abstract

The application of downlink non-orthogonal multiple access (NOMA) in multi-access edge computing (MEC) systems can significantly improve the spectrum efficiency and reduce the delay. In this paper, we investigate the optimal resource allocation to minimize the energy consumption in downlink NOMA MEC networks. The formulated problem is nonconvex. A bilevel programming method is proposed to obtain the optimal solution. By exploiting the monotonicity and convexity properties of subproblems, the optimal closed-form expressions of offloading task ratios and offloading power are derived to achieve the minimum energy consumption in the downlink NOMA MEC network. Moreover, the analysis of the optimal solution indicates different offloading schemes, i.e. pure NOMA and OMA, which are determined by the energy consumption efficiency (ECE) of offloading phase and computing phase at the MEC servers. Simulations demonstrate the optimality and low complexity of the proposed scheme.

Original language	British English
Title of host publication	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728109602
DOIs	https://doi.org/10.1109/GCWkshps45667.2019.9024455
State	Published - Dec 2019
Event	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019

Publication series

Name	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference	2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/Territory	United States
City	Waikoloa
Period	9/12/19 → 13/12/19

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10.1109/GCWkshps45667.2019.9024455

Cite this

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title = "Optimal task assignment and power allocation for downlink NOMA MEC networks",

abstract = "The application of downlink non-orthogonal multiple access (NOMA) in multi-access edge computing (MEC) systems can significantly improve the spectrum efficiency and reduce the delay. In this paper, we investigate the optimal resource allocation to minimize the energy consumption in downlink NOMA MEC networks. The formulated problem is nonconvex. A bilevel programming method is proposed to obtain the optimal solution. By exploiting the monotonicity and convexity properties of subproblems, the optimal closed-form expressions of offloading task ratios and offloading power are derived to achieve the minimum energy consumption in the downlink NOMA MEC network. Moreover, the analysis of the optimal solution indicates different offloading schemes, i.e. pure NOMA and OMA, which are determined by the energy consumption efficiency (ECE) of offloading phase and computing phase at the MEC servers. Simulations demonstrate the optimality and low complexity of the proposed scheme.",

author = "Fang Fang and Kaidi Wang and Zhiguo Ding",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Globecom Workshops, GC Wkshps 2019 ; Conference date: 09-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/GCWkshps45667.2019.9024455",

language = "British English",

series = "2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings",

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

booktitle = "2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings",

address = "United States",

}

Fang, F, Wang, K & Ding, Z 2019, Optimal task assignment and power allocation for downlink NOMA MEC networks. in 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings., 9024455, 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Globecom Workshops, GC Wkshps 2019, Waikoloa, United States, 9/12/19. https://doi.org/10.1109/GCWkshps45667.2019.9024455

Optimal task assignment and power allocation for downlink NOMA MEC networks. / Fang, Fang; Wang, Kaidi; Ding, Zhiguo.
2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 9024455 (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings).

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

TY - GEN

T1 - Optimal task assignment and power allocation for downlink NOMA MEC networks

AU - Fang, Fang

AU - Wang, Kaidi

AU - Ding, Zhiguo

PY - 2019/12

Y1 - 2019/12

N2 - The application of downlink non-orthogonal multiple access (NOMA) in multi-access edge computing (MEC) systems can significantly improve the spectrum efficiency and reduce the delay. In this paper, we investigate the optimal resource allocation to minimize the energy consumption in downlink NOMA MEC networks. The formulated problem is nonconvex. A bilevel programming method is proposed to obtain the optimal solution. By exploiting the monotonicity and convexity properties of subproblems, the optimal closed-form expressions of offloading task ratios and offloading power are derived to achieve the minimum energy consumption in the downlink NOMA MEC network. Moreover, the analysis of the optimal solution indicates different offloading schemes, i.e. pure NOMA and OMA, which are determined by the energy consumption efficiency (ECE) of offloading phase and computing phase at the MEC servers. Simulations demonstrate the optimality and low complexity of the proposed scheme.

AB - The application of downlink non-orthogonal multiple access (NOMA) in multi-access edge computing (MEC) systems can significantly improve the spectrum efficiency and reduce the delay. In this paper, we investigate the optimal resource allocation to minimize the energy consumption in downlink NOMA MEC networks. The formulated problem is nonconvex. A bilevel programming method is proposed to obtain the optimal solution. By exploiting the monotonicity and convexity properties of subproblems, the optimal closed-form expressions of offloading task ratios and offloading power are derived to achieve the minimum energy consumption in the downlink NOMA MEC network. Moreover, the analysis of the optimal solution indicates different offloading schemes, i.e. pure NOMA and OMA, which are determined by the energy consumption efficiency (ECE) of offloading phase and computing phase at the MEC servers. Simulations demonstrate the optimality and low complexity of the proposed scheme.

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DO - 10.1109/GCWkshps45667.2019.9024455

M3 - Conference contribution

AN - SCOPUS:85082293460

T3 - 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

BT - 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Globecom Workshops, GC Wkshps 2019

Y2 - 9 December 2019 through 13 December 2019

ER -

Optimal task assignment and power allocation for downlink NOMA MEC networks

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