Genetic Algorithms and Reinforcement Learning Approaches for Joint Placement, Power Control, and Activation of Flying Base Stations
- DOI
- 10.21203/rs.3.rs-10635241/v1
- Published
- 2026-09-07
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10635241/v1,
title = {Genetic Algorithms and Reinforcement Learning Approaches for Joint Placement, Power Control, and Activation of Flying Base Stations},
author = {Fady A. Abouelghit and Karim G. Seddik},
year = {2026},
doi = {10.21203/rs.3.rs-10635241/v1},
url = {https://doi.org/10.21203/rs.3.rs-10635241/v1}
}RIS
TY - JOUR TI - Genetic Algorithms and Reinforcement Learning Approaches for Joint Placement, Power Control, and Activation of Flying Base Stations AU - Fady A. Abouelghit AU - Karim G. Seddik PY - 2026 DO - 10.21203/rs.3.rs-10635241/v1 UR - https://doi.org/10.21203/rs.3.rs-10635241/v1 ER -
APA
Abouelghit, F. A., & Seddik, K. G. (2026). Genetic Algorithms and Reinforcement Learning Approaches for Joint Placement, Power Control, and Activation of Flying Base Stations. https://doi.org/10.21203/rs.3.rs-10635241/v1
Source records
- crossref · retrieved 2026-09-26T14:37:14.001Z