Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid

Xiaojing Chen; Si Chen; Wei Ni; Xin Wang; Shunqing Zhang; Yanzan Sun; Shugong Xu

doi:10.1109/SPAWC53906.2023.10304449

Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid

Xiaojing Chen^*
, Si Chen
, Wei Ni
, Xin Wang
, Shunqing Zhang
, Yanzan Sun
, Shugong Xu

^*Corresponding author for this work

Shanghai University
Xidian University
CSIRO
Fudan University

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

Abstract

In this paper, we propose two-scale online resource allocation and energy management (TSRE) for smart grid-powered mobile edge computing (SG-MEC) systems, adapting dynamic system parameters. We aim to minimize the time-average cost of the ahead-of-time energy planning and real-time energy trading of the base stations (BSs), and the energy consumption of the mobile users. By generalizing the Lyapunov optimization and the stochastic subgradient method, the energy planning (sub)problem is solved using only historical data, while the real-time decisions are decoupled over time and made in a distributed manner. The feasibility and asymptotic optimality of the proposed TSRE are presented by theoretical analysis.

Original language	English
Title of host publication	2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	601-605
Number of pages	5
ISBN (Electronic)	9781665496261
DOIs	https://doi.org/10.1109/SPAWC53906.2023.10304449
Publication status	Published - 2023
Externally published	Yes
Event	24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Shanghai, China Duration: 25 Sept 2023 → 28 Sept 2023

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference	24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Country/Territory	China
City	Shanghai
Period	25/09/23 → 28/09/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Lyapunov optimization
Mobile edge computing
resource allocation
smart grid
two-scale

Access to Document

10.1109/SPAWC53906.2023.10304449

Cite this

Chen, X., Chen, S., Ni, W., Wang, X., Zhang, S., Sun, Y., & Xu, S. (2023). Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid. In 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings (pp. 601-605). (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC53906.2023.10304449

Chen, Xiaojing ; Chen, Si ; Ni, Wei et al. / Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid. 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 601-605 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

@inproceedings{cee17030c66245e1a70a53e2294fec07,

title = "Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid",

abstract = "In this paper, we propose two-scale online resource allocation and energy management (TSRE) for smart grid-powered mobile edge computing (SG-MEC) systems, adapting dynamic system parameters. We aim to minimize the time-average cost of the ahead-of-time energy planning and real-time energy trading of the base stations (BSs), and the energy consumption of the mobile users. By generalizing the Lyapunov optimization and the stochastic subgradient method, the energy planning (sub)problem is solved using only historical data, while the real-time decisions are decoupled over time and made in a distributed manner. The feasibility and asymptotic optimality of the proposed TSRE are presented by theoretical analysis.",

keywords = "Lyapunov optimization, Mobile edge computing, resource allocation, smart grid, two-scale",

author = "Xiaojing Chen and Si Chen and Wei Ni and Xin Wang and Shunqing Zhang and Yanzan Sun and Shugong Xu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 ; Conference date: 25-09-2023 Through 28-09-2023",

year = "2023",

doi = "10.1109/SPAWC53906.2023.10304449",

language = "English",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

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

pages = "601--605",

booktitle = "2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings",

}

Chen, X, Chen, S, Ni, W, Wang, X, Zhang, S, Sun, Y & Xu, S 2023, Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid. in 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Institute of Electrical and Electronics Engineers Inc., pp. 601-605, 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023, Shanghai, China, 25/09/23. https://doi.org/10.1109/SPAWC53906.2023.10304449

Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid. / Chen, Xiaojing; Chen, Si; Ni, Wei et al.
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 601-605 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

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

TY - GEN

T1 - Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid

AU - Chen, Xiaojing

AU - Chen, Si

AU - Ni, Wei

AU - Wang, Xin

AU - Zhang, Shunqing

AU - Sun, Yanzan

AU - Xu, Shugong

PY - 2023

Y1 - 2023

N2 - In this paper, we propose two-scale online resource allocation and energy management (TSRE) for smart grid-powered mobile edge computing (SG-MEC) systems, adapting dynamic system parameters. We aim to minimize the time-average cost of the ahead-of-time energy planning and real-time energy trading of the base stations (BSs), and the energy consumption of the mobile users. By generalizing the Lyapunov optimization and the stochastic subgradient method, the energy planning (sub)problem is solved using only historical data, while the real-time decisions are decoupled over time and made in a distributed manner. The feasibility and asymptotic optimality of the proposed TSRE are presented by theoretical analysis.

AB - In this paper, we propose two-scale online resource allocation and energy management (TSRE) for smart grid-powered mobile edge computing (SG-MEC) systems, adapting dynamic system parameters. We aim to minimize the time-average cost of the ahead-of-time energy planning and real-time energy trading of the base stations (BSs), and the energy consumption of the mobile users. By generalizing the Lyapunov optimization and the stochastic subgradient method, the energy planning (sub)problem is solved using only historical data, while the real-time decisions are decoupled over time and made in a distributed manner. The feasibility and asymptotic optimality of the proposed TSRE are presented by theoretical analysis.

KW - Lyapunov optimization

KW - Mobile edge computing

KW - resource allocation

KW - smart grid

KW - two-scale

UR - https://www.scopus.com/pages/publications/85178575443

U2 - 10.1109/SPAWC53906.2023.10304449

DO - 10.1109/SPAWC53906.2023.10304449

M3 - Conference Proceeding

AN - SCOPUS:85178575443

T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

SP - 601

EP - 605

BT - 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

Y2 - 25 September 2023 through 28 September 2023

ER -

Chen X, Chen S, Ni W, Wang X, Zhang S, Sun Y et al. Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid. In 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 601-605. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC53906.2023.10304449

Two-Scale Stochastic Optimization of Mobile Edge Computing Systems Powered by Smart Grid

Abstract

Publication series

Conference

UN SDGs

Keywords

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