An Energy Efficiency Resource Allocation Scheme for Mobile Edge Computing

This paper proposes a new energy-efficient scheme for a mobile edge computing (MEC) related wireless communication system. Specifically, a new energy efficiency model is proposed that computation energy con-sumption is considered. In this paper, computation energy is defined as the rate related energy used to provide the computing power in the information processing. Based on the model, we further formulate an optimization problem to maximize the weighted sum energy efficiency (WSEE) of all MEC servers. By applying the dual problem and the iterative methods, the optimization problem is solved and we present an energy-efficient allocation scheme. The simu-lation result shows the influence of the computation energy consumption on the system energy efficiency analysis. In addition, the result shows that the proposed allocation scheme outperforms both average allocation scheme and water-filling scheme.

Authors

Institutions

Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827275
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Energy Efficiency Resource Allocation Scheme for Mobile Edge Computing

Liang Wu, Jian Dang, Kang Liu, Zaichen Zhang
Green IT and Sustainability
article

An Energy Efficiency Resource Allocation Scheme for Mobile Edge Computing

Liang Wu, Jian Dang, Kang Liu, Zaichen Zhang
article en

Abstract

This paper proposes a new energy-efficient scheme for a mobile edge computing (MEC) related wireless communication system. Specifically, a new energy efficiency model is proposed that computation energy con-sumption is considered. In this paper, computation energy is defined as the rate related energy used to provide the computing power in the information processing. Based on the model, we further formulate an optimization problem to maximize the weighted sum energy efficiency (WSEE) of all MEC servers. By applying the dual problem and the iterative methods, the optimization problem is solved and we present an energy-efficient allocation scheme. The simu-lation result shows the influence of the computation energy consumption on the system energy efficiency analysis. In addition, the result shows that the proposed allocation scheme outperforms both average allocation scheme and water-filling scheme.

Southeast University (CN)
Openalex Percentile: Top 76%
Green IT and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An Energy Efficiency Resource Allocation Scheme for Mobile Edge Computing — Liang Wu, Jian Dang, et al. · (2024) | TGRS Research Map | TGRS