Offloading Techniques in Mobile Edge Computing (MEC) for Future Wireless Networks

Ali Fuat Sahin, Ibraheem Shayea, Ibrahim Yazici, Ayman El Saleh, Sawsan Ali Saad

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

1 Citation (Scopus)

Abstract

Mobile edge computing enhances cloud computing capability to users at the edge of wireless networks, for future networks in particular. Network architecture defined by ETSI, has been developed for multi-access edge computing (MEC). This concept has been a hot topic for the latest network technologies in the last decade. Offloading techniques are part of this research as well. Consequently, many diverse offloading techniques for Mobile Edge Computing have been proposed in the literature. Some confusion might occur in relation to this development. Due to this reason, a simplification work is needed for different kinds of offloading techniques which will be used in future wireless networks under Mobile Edge Computing topic. In this paper, many diverse offloading techniques will be presented, and they will be discussed with the aim of providing a sufficient foundation for the upcoming technologies. This paper also provides the key methodologies for collaborative and intelligent methods to be used in future wireless networks. Finally, an outlook for the topic will be given for the future offloading techniques that are yet to come.

Original languageEnglish
Title of host publicationInternational Conference on Smart Computing and Application, ICSCA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350347050
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Smart Computing and Application, ICSCA 2023 - Hail, Saudi Arabia
Duration: 5 Feb 20236 Feb 2023

Publication series

NameInternational Conference on Smart Computing and Application, ICSCA 2023

Conference

Conference2023 International Conference on Smart Computing and Application, ICSCA 2023
Country/TerritorySaudi Arabia
CityHail
Period5/02/236/02/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • 5G
  • computational offloading
  • IoT
  • IoV
  • machine learning
  • Mobile edge computing
  • multi-access edge computing
  • task offloading

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