O. Bekkouche, K. Samdanis, M. Bagaa and T. Taleb, "A Service-Based Architecture for Enabling UAV Enhanced Network Services," in IEEE Network, vol. 34, no. 4, pp. 328-335, July/August 2020, doi: 10.1109/MNET.001.1900556
A service-based architecture for enabling UAV enhanced network services
|Author:||Bekkouche, Oussama1; Samdanis, Konstantinos2; Bagaa, Miloud1;|
1Aalto University, Espoo, Finland
2Nokia Bell Labs, Munich, Germany
3University of Oulu, Oulu, Finland
4Sejong University, Seoul, South Korea
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020110288925
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-02
This article provides an overview of enhanced network services, while emphasizing the role of UAVs as core network equipment with radio and backhaul capabilities. Initially, we elaborate the various deployment options, focusing on UAVs as airborne radio, backhaul and core network equipment, pointing out the benefits and limitations. We then analyze the required enhancements in the SBA to support UAV services including UAV navigation and air traffic management, weather forecasting and UAV connectivity management. The use of airborne UAVs network services is assessed via qualitative means, considering the impact on vehicular applications. Finally, an evaluation has been conducted via a testbed implementation, to explore the performance of UAVs as edge cloud nodes, hosting an ACS function responsible for the control and orchestration of a UAV fleet.
|Pages:||328 - 335|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the European Unions Horizon 2020 programme under the EU 5G!Drones project (Grant No. 857031) and in part by the Academy of Finland 6Genesis Flagship.
|EU Grant Number:||
(857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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