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

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-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 languageEnglish
Title of host publication2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages601-605
Number of pages5
ISBN (Electronic)9781665496261
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Shanghai, China
Duration: 25 Sept 202328 Sept 2023

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Country/TerritoryChina
CityShanghai
Period25/09/2328/09/23

Keywords

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

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