Toward Proactive Service Relocation for UAVs in MEC

Oussama Bekkouche, Somayeh Kianpisheh, Tarik Taleb

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

Abstract

Multi-Access Edge Computing (MEC) is considered as one of the key enablers of Unmanned Aerial Vehicles (UAVs) use cases. However, the envisioned MEC deployments introduce new challenges related to the management of the mobility of services across the distributed MEC hosts, following the UAVs movements and possible handovers to ensure sustainable Quality-of-Service (QoS). A major challenge for MEC service mobility is the decision-making on where and when to relocate services. In this paper, we motivate the use of the predefined flight plans of UAVs for devising proactive relocation strategies that can deal efficiently with realistic asynchronous relocation processes. Moreover, we formulate the Proactive Service Relocation for UAV (PSRU) problem using linear programming, and we validate the gains introduced by the proactive relocation strategy and the use of the predefined flight plans of UAVs.

Original languageEnglish
Title of host publication2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PublisherIEEE
Number of pages7
ISBN (Electronic)9781728181042
DOIs
Publication statusPublished - 2021
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021
https://globecom2021.ieee-globecom.org/

Publication series

Name2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritorySpain
CityMadrid
Period07/12/202111/12/2021
Internet address

Keywords

  • 5G
  • Beyond 5G
  • Linear Programming
  • MEC
  • Mobile Networks
  • Service Migration
  • Unmanned Aerial Vehicles (UAVs)

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