# 3D Path Planning Algorithms in UAV-Enabled Communications Systems: A Mapping Study
## 3 Methodology: Mapping Study
### Realization
\begin{table}
\begin{tabular}{c p{284.5 pt}} \hline \hline
**Item ID** & **Bibliographic Reference** \\ \hline A-24 & [47] [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *An Improved Sparse Hierarchical Lazy Theta* Algorithm for UAV Real-Time Path Planning in Unknown Three-Dimensional Environment-. En Int. Conf. Commun. Technol. Proc. ICCT, 2020-October:673-77. Institute of Electrical and Electronics Engineers Inc., 2020. [[https://doi.org/10.1109/ICCT50939.2020.9295690](https://doi.org/10.1109/ICCT50939.2020.9295690)]([https://doi.org/10.1109/ICCT50939.2020.9295690](https://doi.org/10.1109/ICCT50939.2020.9295690)). \\ \hline A-25 & [48] [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *Multi-UAV 3D Path Planning in Simultaneous Attack-. En IEEE Int. Conf. Control Autom., ICCA, 2020-October:500-505. IEEE Computer Society, 2020. [[https://doi.org/10.1109/ICCA51439.2020.9264450](https://doi.org/10.1109/ICCA51439.2020.9264450)]([https://doi.org/10.1109/ICCA51439.2020.9264450](https://doi.org/10.1109/ICCA51439.2020.9264450)). \\ \hline A-26 & [49] [PERSON], [PERSON], y [PERSON]. *Path Planning of UAVs under Dynamic Environment Based on a Hierarchical Recursive Multiagent Genetic Algorithm*. En IEEE Congr. Evol. Comput., CEC - Conf. Proc. Institute of Electrical and Electronics Engineers Inc., 2020. [[https://doi.org/10.1109/CEC48606.2020.9185513](https://doi.org/10.1109/CEC48606.2020.9185513)]([https://doi.org/10.1109/CEC48606.2020.9185513](https://doi.org/10.1109/CEC48606.2020.9185513)). \\ \hline A-27 & [50] [PERSON], [PERSON] [PERSON]. *Boundary-RRT* Algorithm for Drone Collision Avoidance and Interleaved Path Re-Planning-. Journal of Information Processing Systems 16, no.6 (2020): 1324-42. [[https://doi.org/10.3745/JIIPS.04.0196](https://doi.org/10.3745/JIIPS.04.0196)]([https://doi.org/10.3745/JIIPS.04.0196](https://doi.org/10.3745/JIIPS.04.0196)). \\ \hline A-28 & [51] [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *Mission-Oriented 3D Path Planning for High-Altitude Long-Endurance Solar-Powered UAVs with Optimal Energy Management-. IEEE Access, 2020. [[https://doi.org/10.1109/ACCESS.2020.3045934](https://doi.org/10.1109/ACCESS.2020.3045934)]([https://doi.org/10.1109/ACCESS.2020.3045934](https://doi.org/10.1109/ACCESS.2020.3045934)). \\ \hline A-29 & [52] [PERSON], [PERSON], [PERSON], y [PERSON]. *3D Optimal Surveillance trajectory Planning for Multiple UAVs by Using Particle Swarm Optimization with Surveillance Area Priority*. IEEE Access 8 (2020): 86316-27. [[https://doi.org/10.1109/ACCESS.2020.2992217](https://doi.org/10.1109/ACCESS.2020.2992217)]([https://doi.org/10.1109/ACCESS.2020.2992217](https://doi.org/10.1109/ACCESS.2020.2992217)). \\ \hline A-30 & [53] [PERSON], [PERSON], [PERSON], y [PERSON]. *Smooth 3d Path Planning by Means of Multiobjective Optimization for Fixed-Wing UAVs*. Electronics (Switzerland) 9, no.1 (2020). [[https://doi.org/10.3390/electronics9010051](https://doi.org/10.3390/electronics9010051)]([https://doi.org/10.3390/electronics9010051](https://doi.org/10.3390/electronics9010051)). \\ \hline A-31 & [54] [PERSON], [PERSON], [PERSON], y [PERSON]. *Download and Fly: An Online Solution for the UAV 3D Trajectory Planning Problem in Smart Cities*. En DIVANet - Proc. ACM Symp. Des. Anal. Intell. Veh. Networks Appl., 49-56. Association for Computing Machinery, 2019. [[https://doi.org/10.1145/3345838.3356012](https://doi.org/10.1145/3345838.3356012)]([https://doi.org/10.1145/3345838.3356012](https://doi.org/10.1145/3345838.3356012)). \\ \hline A-32 & [55] [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *Trajectory Planning for Data Collection of Energy-Constrained Heterogeneous UAVs*. Sensors (Switzerland) 19, no.2 (2019). [[https://doi.org/10.3390/s19224884](https://doi.org/10.3390/s19224884)]([https://doi.org/10.3390/s19224884](https://doi.org/10.3390/s19224884)). \\ \hline A-33 & [56] [PERSON], [PERSON], y [PERSON]. *Three Dimensional Path Planning Using Grey Wolf Optimizer for UAVs*. Applied Intelligence 49, no.6 (2019): 2201-17. [[https://doi.org/10.1007/s10489-018-1384-y](https://doi.org/10.1007/s10489-018-1384-y)]([https://doi.org/10.1007/s10489-018-1384-y](https://doi.org/10.1007/s10489-018-1384-y)). \\ \hline A-34 & [26] [PERSON], [PERSON], [PERSON], y [PERSON]. *An Improved RRT Based 3-D Path Planning Algorithm for UAV*. En Proc. Chin. Control Decis. Conf., CCDC, 5514-19. Institute of Electrical and Electronics Engineers Inc., 2019. [[https://doi.org/10.1109/CCDC.2019.8832661](https://doi.org/10.1109/CCDC.2019.8832661)]([https://doi.org/10.1109/CCDC.2019.8832661](https://doi.org/10.1109/CCDC.2019.8832661)). \\ \hline A-35 & [57] [PERSON], [PERSON], [PERSON], y [PERSON]. *Smooth Path Planning for Fixed-Wing Aircraft in 3D Environment Using a Layered Essential Visibility Graph*. En Int. Conf. Unmanned Aircr. Syst., ICUAS, 9-18. Institute of Electrical and Electronics Engineers Inc., 2019. [[https://doi.org/10.1109/ICUAS.2019.8797929](https://doi.org/10.1109/ICUAS.2019.8797929)]([https://doi.org/10.1109/ICUAS.2019.8797929](https://doi.org/10.1109/ICUAS.2019.8797929)). \\ \hline A-36 & [58] [PERSON], y [PERSON]. *Obstacle Avoidance for a Quadrotor Using A* Path Planning and Lqr-Based Trajectory Tracking*. En AIAA Scitech Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, 2019. [[https://doi.org/10.2514/6.2019-1566](https://doi.org/10.2514/6.2019-1566)]([https://doi.org/10.2514/6.2019-1566](https://doi.org/10.2514/6.2019-1566)). \\ \hline A-37 & [59] [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *Low-Altitude Navigation for Multi-Rotor Drones in Urban Areas*. IEEE Access 7 (2019): 87716-31. [[https://doi.org/10.1109/ACCESS.2019.2925531](https://doi.org/10.1109/ACCESS.2019.2925531)]([https://doi.org/10.1109/ACCESS.2019.2925531](https://doi.org/10.1109/ACCESS.2019.2925531)). \\ \hline \hline \end{tabular}
\end{table}