Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control
CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key
technology for security in smart city environments. This article creates a case where the …
technology for security in smart city environments. This article creates a case where the …
Cooperative multi-agent deep reinforcement learning for reliable and energy-efficient mobile access via multi-UAV control
Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks
Realizing digital-twin services is one of promising applications in 6 G mobile communication
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
Multi-agent deep reinforcement learning for efficient passenger delivery in urban air mobility
It has been considered that urban air mobility (UAM), also known as drone-taxi or electrical
vertical takeoff and landing (eVTOL), will play a key role in future transportation. By putting …
vertical takeoff and landing (eVTOL), will play a key role in future transportation. By putting …
Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach
This paper proposes a novel multi-agent deep reinforcement learning (MADRL)-based
positioning algorithm for multiple unmanned aerial vehicles (UAVs) collaboration in mobile …
positioning algorithm for multiple unmanned aerial vehicles (UAVs) collaboration in mobile …
Sensing-to-Sky Intermittent Connectivity Realization for LTE-Enabled Drone Platforms: Embedded Design, Measurement Study, and Positioning Applications
This paper presents practical scenarios for drone-based networking systems, specifically
focusing on LTE-capable sensor-to-drone intermittent transmission over cellular networks …
focusing on LTE-capable sensor-to-drone intermittent transmission over cellular networks …
Autonomous aerial mobility learning for drone-taxi flight control
In smart city scenarios, the use of unmanned aerial vehicle (UAV) networks is one of actively
discussed technologies. In this paper, we consider the scenario where carpoolable UAV …
discussed technologies. In this paper, we consider the scenario where carpoolable UAV …