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RESEARCH PRODUCT
UAV Communication Strategies in the Next Generation of Mobile Networks
Ali ChelliMiloud BagaaHamed HellaouiTarik Talebsubject
Scheme (programming language)Computer sciencebusiness.industryQuality of serviceNode (networking)05 social sciencesComputerApplications_COMPUTERSINOTHERSYSTEMS050801 communication & media studies020206 networking & telecommunications02 engineering and technologySpectral efficiencylaw.inventionUAV-to-Infrastructure (U2I)0508 media and communicationsRelaylawUAV-to-UAV (U2U)0202 electrical engineering electronic engineering information engineeringbusinessMobile NetworksUnmanned Aerial Vehicles (UAVs)computerComputer networkcomputer.programming_languagedescription
| openaire: EC/H2020/857031/EU//5G!Drones The Next Generation of Mobile Networks (NGMN) alliance advocates the use of different means to support vehicular communications. This aims to cope with the massive data generated by these devices which could affect the Quality of Service (QoS) of the associated applications, but also the overall operation carried out by the vehicles. However, efficient communication strategies must be considered in order to select, for each vehicle, the communication mean ensuring the best QoS. In this paper, we tackle this issue and we propose efficient communication strategies for Unmanned Aerial Vehicles (UAVs). In addition to direct UAV-to-Infrastructure communications (U2I), we also consider UAV-to-UAV scheme (U2U) to transmit data via relay UAVs. The goal is to select for each UAV the best communication strategy and the relay node to maximize the spectral efficiency. The expressions of the effective rate are derived for the different strategies and the problem is formulated using linear programming. Performance evaluations are conducted and the obtained results demonstrate the effectiveness of the proposed solution. Peer reviewed
year | journal | country | edition | language |
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2020-06-01 |