Toward a UTM-based Service Orchestration for UAVs in MEC-NFV Environment

Oussama Bekkouche, Miloud Bagaa, Tarik Taleb

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

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Abstract

The increased use of Unmanned Aerial Vehicles (UAVs) in numerous domains, will result in high traffic densities in the low-altitude airspace. Consequently, UAVs Traffic Management (UTM) systems that allow the integration of UAVs in the low-altitude airspace are gaining a lot of momentum. Furthermore, the 5th generation of mobile networks (5G) will most likely provide the underlying support for UTM systems by providing connectivity to UAVs, enabling the control, tracking and communication with remote applications and services. However, UAVs may need to communicate with services with different communication Quality of Service (QoS) requirements, ranging from best-effort services to Ultra-Reliable Low-Latency Communications (URLLC) services. Indeed, 5G can ensure efficient Quality of Service (QoS) enhancements using new technologies, such as network slicing and Multi-access Edge Computing (MEC). In this context, Network Functions Virtualization (NFV) is considered as one of the pillars of 5G systems, byproviding a QoS-aware Management and Orchestration (MANO) of softwarized services across cloud and MEC platforms. The MANO process of UAV’s services can be enhanced further using the information provided by the UTM system, such as the UAVs’ flight plans. In this paper, we propose an extended framework forthe management and orchestration of UAVs’ services in MEC-NFV environment by combining the functionalities provided by the MEC-NFV management and orchestration framework with the functionalities of a UTM system. Moreover, we propose an Integer Linear Programming (ILP) model of the placementscheme of our framework and we evaluate its performances. The obtained results demonstrate the effectiveness of the proposed solutions in achieving its design goals.
Original languageEnglish
Title of host publicationIEEE Global Communications Conference
Place of PublicationUnited States
PublisherIEEE
ISBN (Electronic)9781728109626
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

NameIEEE Global Communications Conference
ISSN (Print)2334-0983

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryUnited States
CityWaikoloa
Period09/12/201913/12/2019

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