# 3D Path Planning Algorithms in UAV-Enabled Communications Systems: A Mapping Study
## 3 Methodology: Mapping Study
### Realization  
The realization phase is the process that allows answering the research questions posed in the phase of the scope of the study. Focused on this task, we explore the documents in the Scopus database using the search string defined in the previous phase of automated inclusion-exclusion by filtering the information with the previously proposed processes and codifying the resulting documents with the implemented classification scheme. On 29 July 2022, 631 articles were obtained in the automated inclusion-exclusion phase. Applying the following filter, the manual inclusion-exclusion phase, 37 articles were finally selected, with which this study was performed. Figure 10 presents a diagram of the document selection process and the filtering with the inclusion and exclusion criteria. Table 4 shows the list of the 37 selected papers. For better identification and understanding of the tables, an \"A-XX\" code was generated for each paper, where the letter A corresponds to the initial of the paper, followed by a sequential number. These items are in no particular order. Hereinafter, the papers will be identified with this code. \begin{table}
\begin{tabular}{c c} \hline
**Item ID** & **Bibliographic Reference** \\ \hline A-01 & [27] [PERSON], [PERSON], [PERSON] y [PERSON]. *Improved Chimp Optimization Algorithm for Three-Dimensional Path Planning Problem*. Multimedia Tools and Applications 81, n.o 19 (2022): 27397-422. \\  & [[https://doi.org/10.1007/s11042-022-12882-4](https://doi.org/10.1007/s11042-022-12882-4)]([https://doi.org/10.1007/s11042-022-12882-4](https://doi.org/10.1007/s11042-022-12882-4)). \\ \hline A-02 & [22] [PERSON], [PERSON], y [PERSON]. *Fixed-Wing UAV Energy Efficient 3D Path Planning in Cluttered Environments. Journal of Intelligent and Robotic Systems: Theory and Applications 105, n.o 3 (2022). [[https://doi.org/10.1007/s10846-022-01608-1](https://doi.org/10.1007/s10846-022-01608-1)]([https://doi.org/10.1007/s10846-022-01608-1](https://doi.org/10.1007/s10846-022-01608-1)). \\ \hline A-03 & [28] [PERSON], [PERSON]-[PERSON], [PERSON], [PERSON][PERSON], [PERSON], [PERSON][PERSON], y [PERSON]. *A New Hybrid Algorithm Based on Golden Eagle Optimizer and Grey Wolf Optimizer for 3D Path Planning of Multiple UAVs in Power Inspections. Neural Computing and Applications 34, no 14 (2022): 11911-36. [[https://doi.org/10.1007/s00521-022-07080-0](https://doi.org/10.1007/s00521-022-07080-0)]([https://doi.org/10.1007/s00521-022-07080-0](https://doi.org/10.1007/s00521-022-07080-0)). \\ \hline A-04 & [29] [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *Modified A-Star (A*) Approach to Plan the Motion of a Quadrotor UAV in Three-Dimensional Obstacle-Cluttered Environment*. Applied Sciences (Switzerland) 12, n.o 12 (2022). [[https://doi.org/10.3390/app12125791](https://doi.org/10.3390/app12125791)]([https://doi.org/10.3390/app12125791](https://doi.org/10.3390/app12125791)). \\ \hline A-05 & [30] [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *CROSSOVER RECOMBINATION-BASED GLOBAL-BEST BRAIN STORM OPTIMIZATION ALGORITHM FOR UAV PATH PLANNING*. Proceedings of the Romanian Academy Series A - Mathematics Physics Technical Sciences Information Science 23, n.o 2 (2022): 207-16. \\ \hline A-06 & [3] [PERSON], [PERSON], [PERSON], y [PERSON]. *Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security*. Aerospace 9, n.o 2 (2022). [[https://doi.org/10.3390/aerospace9020050](https://doi.org/10.3390/aerospace9020050)]([https://doi.org/10.3390/aerospace9020050](https://doi.org/10.3390/aerospace9020050)). \\ \hline A-07 & [31] [PERSON], [PERSON], [PERSON], [PERSON], y [PERSON]. *UAV Path Planning and Collision Avoidance in 3D Environments Based on POMPD and Improved Grey Wolf Optimizer-. Aerospace Science and Technology 121 (2022). [[https://doi.org/10.1016/j.ast.2021.107314](https://doi.org/10.1016/j.ast.2021.107314)]([https://doi.org/10.1016/j.ast.2021.107314](https://doi.org/10.1016/j.ast.2021.107314)).