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Abstract
This paper considers the scenario of Unmanned Aerial Vehicles (UAVs) acting as flying base stations (UAV-BSs) to provide network connectivity to ground Internet of Things (IoT) devices. More precisely, we investigate the issue where a UAV-BS needs to be replaced by a new one in a seamless way. First, we formulate the issue as an optimization problem aiming to maximize the minimum transmission rate of the served IoT devices during the UAV-BS replacement process. This is translated into jointly optimizing the trajectory of the source UAV-BS (the one to be replaced) and the target UAV-BS (the replacing one), while pushing the IoT devices to seamlessly transfer their connections to the target UAV-BS. We therefore consider a target replacement zone where the UAV-BS replacement can happen, along with IoT connections transfer. Furthermore, we propose a solution based on Deep Reinforcement Learning (DRL). More precisely, we introduce a Multi-Heterogeneous Agent-based approach (MHA-DRL), where two types of agents are considered, namely the UAV-BS agents and the IoT agents. Each agent implements a DQN (Deep Q-Learning) algorithm, where UAV-BS agents learn optimal policies to perform replacement while IoT agents learn optimal policies to transfer their connections to the target UAV-BS. The conducted performance evaluations show that the proposed approach can achieve near optimal optimization.
Original language | English |
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Title of host publication | GLOBECOM 2022 - 2022 IEEE Global Communications Conference |
Publisher | IEEE |
Pages | 3641-3646 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-6654-3540-6 |
ISBN (Print) | 978-1-6654-3541-3 |
DOIs | |
Publication status | Published - 11 Jan 2023 |
MoE publication type | A4 Conference publication |
Event | IEEE Global Communications Conference - Rio de Janeiro, Brazil Duration: 4 Dec 2022 → 8 Dec 2022 |
Conference
Conference | IEEE Global Communications Conference |
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Abbreviated title | GLOBECOM |
Country/Territory | Brazil |
City | Rio de Janeiro |
Period | 04/12/2022 → 08/12/2022 |
Keywords
- Performance evaluation
- Deep learning
- Base stations
- Q-learning
- Handover
- Autonomous aerial vehicles
- Trajectory
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Dive into the research topics of 'Seamless Replacement of UAV-BSs Providing Connectivity to the IoT'. Together they form a unique fingerprint.Projects
- 1 Finished
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5G!Drones: 5G for Drone-based Vertical Applications
Taleb, T. (Principal investigator)
01/06/2019 → 30/11/2022
Project: EU: Framework programmes funding