On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks
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Abstract (arXiv)
Using drone base stations (drone-BSs) in wireless networks has started attracting attention. Drone-BSs can assist the ground BSs in both capacity and coverage enhancement. One of the important problems about integrating drone-BSs to cellular networks is the management of their placement to satisfy the dynamic system requirements. In this paper, we propose a method to find the positions of drone-BSs in an area with different user densities using a heuristic algorithm. The goal is to find the minimum number of drone-BSs and their 3D placement so that all the users are served. Our simulation results show that the proposed approach can satisfy the quality-of-service requirements of the network.
Key facts. Cited by 6 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Apr 2018.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 1.
6 papers.
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Controlcited by 25
- 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systemscited by 5
- 2022UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithmscited by 3
- 2024Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Modelscited by 3
- 2022UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operationscited by 1
- 2021Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Networkcited by 0
- 2024Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models24 Jan 2024
- 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems9 Feb 2023
- 2022UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms27 Nov 2022
- 2022UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations17 Feb 2022
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control15 Jan 2022
- 2021Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network29 Dec 2021