Data-Driven Based Positioning Technique for UAV Aided NOMA System
Author:
Affiliation:
1. Shenzhen University,College of Electronics and Information Engineering,China
2. Suez Canal, University,Faculty of Engineering,Department of Electronics and Communication,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9691394/9691306/09691311.pdf?arnumber=9691311
Reference22 articles.
1. UAV-Assisted Heterogeneous Networks for Capacity Enhancement
2. Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
3. Positioning of Flying Base Stations to Optimize Throughput and Energy Consumption of Mobile Devices
4. On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks
5. Efficient 3D placement of a UAV using particle swarm optimization
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1. Reinforcement learning-based unmanned aerial vehicle trajectory planning for ground users’ mobility management in heterogeneous networks;Journal of King Saud University - Computer and Information Sciences;2024-06
2. Reinforcement Learning based Sum Rate Maximization for UAV-Assisted NOMA System;2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2023-12-18
3. NOMA-Assisted Relay Access Scheme for Flying Ad Hoc Networks;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08
4. Reinforcement Learning Based Technique for Interference Management in UAV Aided HetNets;2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2022-12-19
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