Optimized deployment of multi-UAV based on machine learning in UAV-HST networking
A new communications infrastructure is needed for users to experience the contents of 5G-
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
Multitask and multiobjective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios
X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …
algorithm for computation offloading and relay communication is investigated for the air …
UAV aided network association in space-air-ground communication networks
Unmanned aerial vehicles (UAVs) cooperating with satellites and base stations (BSs)
constitute a space-air-ground three-tier heterogeneous network, which is beneficial in terms …
constitute a space-air-ground three-tier heterogeneous network, which is beneficial in terms …
A two-step environment-learning-based method for optimal UAV deployment
Unmanned aerial vehicles (UAVs) can be used as low-altitude flight base stations to satisfy
the coverage requirements of wireless users in various scenarios. In practical applications …
the coverage requirements of wireless users in various scenarios. In practical applications …
UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
Opportunistic UAV utilization in wireless networks: Motivations, applications, and challenges
With the prominent advancement of flight control and intelligent transportation technology,
UAVs will play an important role in air traffic. Besides being deployed as dedicated aerial …
UAVs will play an important role in air traffic. Besides being deployed as dedicated aerial …
Joint optimization of resource allocation and multi-UAV trajectory in space-air-ground IoRT networks
Given suburban and rural areas with limited ground infrastructure, the Internet of Remote
Things (IoRT) is considered as a promising way to provide services for smart devices that …
Things (IoRT) is considered as a promising way to provide services for smart devices that …
Simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the
full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …
full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …
Optimizing energy efficiency in UAV-assisted networks using deep reinforcement learning
In this letter, we study the energy efficiency (EE) optimization of unmanned aerial vehicles
(UAVs) providing wireless coverage to static and mobile ground users. Recent multi-agent …
(UAVs) providing wireless coverage to static and mobile ground users. Recent multi-agent …
Learning to Fly: A Distributed Deep Reinforcement Learning Framework for Software-Defined UAV Network Control
Control and performance optimization of wireless networks of Unmanned Aerial Vehicles
(UAVs) require scalable approaches that go beyond architectures based on centralized …
(UAVs) require scalable approaches that go beyond architectures based on centralized …