Energy-Efficient Resource Allocation for Mobile Edge Computing System Supporting Multiple Mobile Devices

Song Jin, Qi Gu, Xiang Li, Xuming An, Rongfei Fan*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowadays, mobile edge computing (MEC) has become a promising technique to provide mobile devices with intensive computation capability for the applications in the Internet of Things and 5G communications. In a MEC system, a mobile device, who has computation tasks to complete, would like to offload part or all the data for computation to a MEC server, due to the limit of local computation capability. In this paper, we consider a MEC system with one MEC server and multiple mobile devices, who access into the MEC server via frequency division multiple access (FDMA). The energy consumption of all the mobile devices is targeted to minimized via optimizing the computation and communication resources, including the amount of data for offloading, the bandwidth for accessing, the energy budget for offloading data, the time budget for offloading, for each mobile device. An optimization problem is formulated, which is non-convex. We decompose it into two levels. In the lower level, a convex optimization problems is formulated. In the upper level, a one-dimensional variable is to be optimized by bisection search method.

Original languageEnglish
Title of host publicationIoT as a Service - 5th EAI International Conference, IoTaaS 2019, Proceedings
EditorsBo Li, Mao Yang, Zhongjiang Yan, Jie Zheng, Yong Fang
PublisherSpringer
Pages228-234
Number of pages7
ISBN (Print)9783030447502
DOIs
Publication statusPublished - 2020
Event5th EAI International Conference on IoT as a Service, IoTaaS 2019 - Xi'an, China
Duration: 16 Nov 201917 Nov 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume316 LNICST
ISSN (Print)1867-8211

Conference

Conference5th EAI International Conference on IoT as a Service, IoTaaS 2019
Country/TerritoryChina
CityXi'an
Period16/11/1917/11/19

Keywords

  • Data offloading
  • Edge computing
  • FDMA
  • Multiple users

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