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2 E. Kalantari, "User association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations" 1-6, 2017
3 "Understanding LTE Signal Strength Values"
4 H. Bayerlein, "Trajectory optimization for autonomous flying base station via reinforcement learning" 1-5, 2018
5 Scottish Government and Scottish Futures Trust, "Scottish 4G Infill Programme Consultation: Request For Information"
6 R. S. Sutton, "Reinforcement learning: An introduction" MIT press 2018
7 W. Koch, "Reinforcement learning for UAV attitude control" 3 (3): 22-, 2019
8 A. Nandy, "Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python" Apress 2017
9 P. V. Klaine, "Reinforcement Learning Enabled Unmanned Aerial Vehicles in Pop-Up Cellular Networks"
10 R. Amorim, "Radio channel modeling for uav communication over cellular networks" 6 (6): 514-517, 2017
1 Y. Zeng, "Wireless communications with unmanned aerial vehicles : Opportunities and challenges" 54 (54): 36-42, 2016
2 E. Kalantari, "User association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations" 1-6, 2017
3 "Understanding LTE Signal Strength Values"
4 H. Bayerlein, "Trajectory optimization for autonomous flying base station via reinforcement learning" 1-5, 2018
5 Scottish Government and Scottish Futures Trust, "Scottish 4G Infill Programme Consultation: Request For Information"
6 R. S. Sutton, "Reinforcement learning: An introduction" MIT press 2018
7 W. Koch, "Reinforcement learning for UAV attitude control" 3 (3): 22-, 2019
8 A. Nandy, "Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python" Apress 2017
9 P. V. Klaine, "Reinforcement Learning Enabled Unmanned Aerial Vehicles in Pop-Up Cellular Networks"
10 R. Amorim, "Radio channel modeling for uav communication over cellular networks" 6 (6): 514-517, 2017
11 Z. Yijing, "Q learning algorithm based UAV path learning and obstacle avoidence approach" 3397-3402, 2017
12 Evolved Universal Terrestrial Radio Access (E-UTRA), "Overall description;Stage 2, 3GPP"
13 D. Wang, "Optimized link distribution schemes for ultra reliable and low latent communications in multi-layer airborne networks" 16 (16): 2019
14 A. Al-Hourani, "Optimal LAP altitude for maximum coverage" 3 (3): 569-572, 2014
15 E. Kalantari, "On the number and 3D placement of drone base stations in wireless cellular networks" 1-6, 2016
16 "New map shows Germany’s mobile ’dead zones’" The Local
17 A. Al-Hourani, "Modeling cellular-to-UAV path-loss for suburban environments" 7 (7): 82-85, 2017
18 A. Al-Hourani, "Modeling air-toground path loss for low altitude platforms in urban environments" 2898-2904, 2014
19 T. Ebuchi, "KDDI and Rakuten to help eliminate cellular dead zones by 2024" Nikkei Asian Review
20 R. Jurdi, "Identifying coverage holes: Where to densify?" 1417-1421, 2017
21 I. Akbari, "How reliable is MDT-based autonomous coverage estimation in the presence of user and BS positioning error?" 5 (5): 196-199, 2016
22 E. Teng, "Holes-in-the-Sky: A field study on cellular-connected UAS" 1165-1174, 2017
23 T. Jones, "Germany’s 4G mobile network one of worst in Europe" DW
24 N. A. Ali, "General expressions for downlink signal to interference and noise ratio in homogeneous and heterogeneous LTE-Advanced networks" 7 (7): 923-929, 2016
25 R. Sharma, "Fuzzy Q learning based UAV autopilot" 29-33, 2014
26 M. Alzenad, "FSObased vertical backhaul/fronthaul framework for 5G+ wireless networks" 56 (56): 218-224, 2018
27 R. Ghanavi, "Efficient 3D aerial base station placement considering users mobility by reinforcement learning" 1-6, 2018
28 R. Ghanavi, "Efficient 3D aerial base station placement considering users mobility by reinforcement learning" 1-6, 2018
29 R. I. Bor-Yaliniz, "Efficient 3-D placement of an aerial base station in next generation cellular networks" 1-5, 2016
30 Y. Wang, "Detection and protection of macro-users in dominant area of co-channel CSG cells" 1-5, 2012
31 H. Xiao, "Coverage hole detection in cellular wireless network"
32 H.-W. Liang, "Coverage hole detection in cellular networks with deterministic propagation model" 1-6, 2016
33 E. Kalantari, "Backhaul-aware robust 3D drone placement in 5G+ wireless networks" 109-114, 2017
34 H. X. Pham, "Autonomous UAV navigation using reinforcement learning"
35 A. Galindo-Serrano, "Automated coverage hole detection for cellular networks using radio environment maps" 35-40, 2013
36 A. Gomez Andrades, "A method of assessment of LTE coverage holes" 2016 : 236-, 2016
37 S. A. W. Shah, "A distributed approach for networked flying platform association with small cells in 5G+ networks" 2017
38 M. Mozaffari, "A Tutorial on UAVs for wireless networks: Applications, challenges, and open problems" CoRR
39 3GPP, "5G; NR; Base Station (BS) radio transmission and reception, Technical Specification (TS) 38.104" 3rd Generation Partnership Project (3GPP)
40 K. T. Feng, "3d on-demand flying mobile communication for millimeter-wave heterogeneous networks" 34 (34): 198-204, 2020
41 M. Alzenad, "3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energyefficient maximal coverage" 6 (6): 434-437, 2017