Quality-aware trajectory planning of cellular connected UAVs

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openAccess
Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2020-09-25
Major/Subject
Mcode
Degree programme
Language
en
Pages
7
79-85
Series
DroneCom 2020 - Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
Abstract
The use of Unmanned Aerial Vehicles (UAVs) is becoming common in our daily lives and cellular networks are effective in providing support services to UAVs for long-range applications. The main target of this paper is to propose a modified form of well-known graph search methods i.e., Dijkstra and A-star also known as Aalgorithm, for quality-aware trajectory planning of the UAV. The aerial quality map of the propagation environment is used as an input for UAV trajectory planning, and the quality metric considered for this work is Signal to Interference plus Noise Ratio (SINR). The UAV trajectory is quantified in terms of three performance metrics i.e., path length, Quality Outage Ratio (QOR), and maximum Quality Outage Duration (QOD). The proposed path planning algorithm aims at achieving a trade-off between the path length and other quality metrics of the UAV trajectory. The simulations are performed using an agreed 3GPP macro cell LOS scenario for UAVs in MATLAB. Simulation results illustrate that the proposed algorithm significantly improves the QOR by slightly increasing the path length compared with the naive shortest path. Similarly, the outage avoidance path achieves high QOR at the expense of large path length, and our proposed method finds a compromise and provides an optimal quality-aware path.
Description
| openaire: EC/H2020/815191/EU//PriMO-5G
Keywords
Cellular, Graph search, Simulations, Trajectory planning, UAV
Other note
Citation
Sheikh , M U , Riaz , M , Jameel , F , Jäntti , R , Sharma , N , Sharma , V & Alazab , M 2020 , Quality-aware trajectory planning of cellular connected UAVs . in DroneCom 2020 - Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond . ACM , pp. 79-85 , ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond , London , United Kingdom , 25/09/2020 . https://doi.org/10.1145/3414045.3415943