On UAV selection and position-based throughput maximization in multi-UAV relaying networks

SK Singh, K Agrawal, K Singh, CP Li, WJ Huang - IEEE Access, 2020 - ieeexplore.ieee.org
… to the horizontal placement of the selected UAV. Next, we … Similar approach is used to find
approximate number of flops … all UAVs ie set Q for selection whereas BDS uses only UAVs of …

Efficient deployment with throughput maximization for UAVs communication networks

MA Sayeed, R Kumar, V Sharma, MA Sayeed - Sensors, 2020 - mdpi.com
… a throughput maximization approach for UAV assisted ground networks. Throughput maximization
… by pushing data through new routes created by adjusting UAV positions, which in turn …

Minimum throughput maximization for multi-UAV enabled WPCN: A deep reinforcement learning method

J Tang, J Song, J Ou, J Luo, X Zhang, KK Wong - IEEE access, 2020 - ieeexplore.ieee.org
… minimum transmit power by optimizing 3D placement of UAV. Deep learning (DL) has been
… , and we can’t obtain a feasible solution by general methods. As a result, we come up with a …

A fast deployment strategy for UAV enabled network based on deep learning

J Liu, Q Wang, X Li, W Zhang - … on Personal, Indoor and Mobile …, 2020 - ieeexplore.ieee.org
learning (GPI-Learning) algorithm for fast placement strategy of UAVs to achieve high
throughput in … Besides, compared with the existing machine learning methods, it can adapt to …

Deep learning meets swarm intelligence for UAV-assisted IoT coverage in massive MIMO

M Mahmood, MM Ghadaksaz, A Koc… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
UAV placement and transmit PA. The nonconvex problem is solved … 3) We analyze the
performance of UAV DF relaying with and … approach, we can design the UAV receive RF stage via

Location-aware predictive beamforming for UAV communications: A deep learning approach

C Liu, W Yuan, Z Wei, X Liu… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
positioning system (GPS)-assisted beam tracking approachperformance. More importantly,
the high maneuverability of … rate is maximized. However, due to the dynamic nature of the …

An unsupervised machine learning approach for UAV-aided offloading of 5G cellular networks

L Tsipi, M Karavolos, D Vouyioukas - Telecom, 2022 - mdpi.com
… of UAVs and ground base stations to maximize the minimum … , performance evaluations
showed that the proposed UAV … the best possible placement of the UAV base stations (UAV-BSs) …

Trajectory design and resource allocation for multi-UAV networks: Deep reinforcement learning approaches

Z Chang, H Deng, L You, G Min, S Garg… - … Science and …, 2022 - ieeexplore.ieee.org
… In this work, novel machine learningbased trajectory design and … to maximize the minimum
throughput of the group in a given time duration. In [16], a drone-based small cell placement

Throughput maximization of UAV networks

W Xu, Y Sun, R Zou, W Liang, Q Xia… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
… by one of the following methods. On one hand, … for placing the UAVs, such that the network
throughput, ie, the sum of the data rates of users served by the deployed UAVs, is maximized, …

[HTML][HTML] Coverage and throughput analysis of an energy efficient UAV base station positioning scheme

AI Abubakar, MS Mollel, O Onireti, M Ozturk, I Ahmad… - Computer Networks, 2023 - Elsevier
machine learning (ML) approaches that have been proposed in the literature for positioning
the UAV-… to find the optimal UAV placement and compensation factor that maximizes energy-…