Backhaul-aware Robust 3D Drone Placement in 5G+ Wireless Networks
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Abstract (arXiv)
Using drones as flying base stations is a promising approach to enhance the network coverage and area capacity by moving supply towards demand when required. However deployment of such base stations can face some restrictions that need to be considered. One of the limitations in drone base stations (drone-BSs) deployment is the availability of reliable wireless backhaul link. This paper investigates how different types of wireless backhaul offering various data rates would affect the number of served users. Two approaches, namely, network-centric and user-centric, are introduced and the optimal 3D backhaul-aware placement of a drone-BS is found for each approach. To this end, the total number of served users and sum-rates are maximized in the network-centric and user-centric frameworks, respectively. Moreover, as it is preferred to decrease drone-BS movements to save more on battery and increase flight time and to reduce the channel variations, the robustness of the network is examined as how sensitive it is with respect to the users displacements.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2017.
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Citing papers per year: 2021: 1; 2022: 3.
4 papers.
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Controlcited by 5
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learningcited by 1
- 2022UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operationscited by 1
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaulcited by 0
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control3 Oct 2022
- 2022UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations17 Feb 2022
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul4 Feb 2022
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning14 Dec 2021