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Reinforcement Learning-Based Trajectory Design for the Aerial Base
  Stations
v1v2 (latest)

Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019
23 June 2019
Behzad Khamidehi
E. Sousa
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations"

9 / 9 papers shown
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and SemanticsIEEE Internet of Things Journal (IEEE IoT J.), 2023
Yahao Ding
Zhaohui Yang
Quoc-Viet Pham
Zhaoyang Zhang
M. Shikh-Bahaei
309
75
0
03 Jan 2023
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of
  Recent Learning Algorithms
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning AlgorithmsIEEE Open Journal of Vehicular Technology (OJVT), 2022
A. H. Arani
Peng Hu
Yeying Zhu
260
17
0
27 Nov 2022
Machine Learning Methods for Management UAV Flocks -- a Survey
Machine Learning Methods for Management UAV Flocks -- a SurveyIEEE Access (IEEE Access), 2021
Rina Azoulay
Yoram Haddad
S. Reches
213
15
0
30 Aug 2021
Reinforcement Learning-based Joint Path and Energy Optimization of
  Cellular-Connected Unmanned Aerial Vehicles
Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles
A. Hooshmand
71
0
0
27 Nov 2020
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path
  Planning
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning
Behzad Khamidehi
E. Sousa
139
24
0
23 Aug 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV
  with Deep Reinforcement Learning
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement LearningIEEE Transactions on Wireless Communications (TWC), 2020
Yong Zeng
Xiaoli Xu
Shi Jin
Rui Zhang
242
216
0
17 Mar 2020
Learning in the Sky: An Efficient 3D Placement of UAVs
Learning in the Sky: An Efficient 3D Placement of UAVs
A. H. Arani
M. M. Azari
W. Melek
S. Safavi-Naeini
94
2
0
02 Mar 2020
A Double Q-Learning Approach for Navigation of Aerial Vehicles with
  Connectivity Constraint
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint
Behzad Khamidehi
E. Sousa
48
21
0
24 Feb 2020
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement
  in Mobile Networks
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile NetworksIEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019
Rozhina Ghanavi
M. Sabbaghian
H. Yanikomeroglu
71
5
0
10 Sep 2019
1
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