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UAV-assisted IoT applications, QoS requirements and challenges with future research directions
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …
emerging concept that effectuates the foreknowledge of innovative technologies. With the …
Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning
Low Earth Orbit (LEO) satellites have emerged as crucial enablers of direct connections with
remote terrestrial terminals. However, energy limitations and insufficient antenna capabilities …
remote terrestrial terminals. However, energy limitations and insufficient antenna capabilities …
Multi-objective optimization for multi-uav-assisted mobile edge computing
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing
(MEC) have provided users with flexible and resilient computing services. However, meeting …
(MEC) have provided users with flexible and resilient computing services. However, meeting …
Multi-Objective Aerial Collaborative Secure Communication Optimization Via Generative Diffusion Model-Enabled Deep Reinforcement Learning
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
Sustainable UAV mobility support in integrated terrestrial and non-terrestrial networks
Non-terrestrial networks (NTN) provide a revolutionary solution to bridge the digital divide in
areas underserved by terrestrial network (TN). Particularly, low Earth orbit (LEO) …
areas underserved by terrestrial network (TN). Particularly, low Earth orbit (LEO) …
Dual UAV cluster-assisted maritime physical layer secure communications via collaborative beamforming
Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime
wireless communications. However, complex channels and multipath effects at sea can …
wireless communications. However, complex channels and multipath effects at sea can …
UAV-enabled collaborative beamforming via multi-agent deep reinforcement learning
In this paper, we investigate an unmanned aerial vehicle (UAV)-assistant air-to-ground
communication system, where multiple UAVs form a UAV-enabled virtual antenna array …
communication system, where multiple UAVs form a UAV-enabled virtual antenna array …
Sum-Rate Maximization for D2D-Enabled UAV Networks With Seamless Coverage Constraint
X Liu, B Yang, J Liu, L **an, X Jiang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
This article investigates sum-rate maximization while achieving seamless coverage with the
minimum number of unmanned aerial vehicles (UAVs) in a device-to-device (D2D)-enabled …
minimum number of unmanned aerial vehicles (UAVs) in a device-to-device (D2D)-enabled …
An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing
Given flexible mobility, rapid deployment, and low cost, unmanned aerial vehicle (UAV)-
enabled mobile edge computing (MEC) shows great potential to compensate for the lack of …
enabled mobile edge computing (MEC) shows great potential to compensate for the lack of …
A Two Time-Scale Joint Optimization Approach for UAV-assisted MEC
Unmanned aerial vehicles (UAV)-assisted mobile edge computing (MEC) is emerging as a
promising paradigm to provide aerial-terrestrial computing services close to mobile devices …
promising paradigm to provide aerial-terrestrial computing services close to mobile devices …