UAV-assisted IoT applications, QoS requirements and challenges with future research directions

M Adil, H Song, MA Jan, MK Khan, X He… - ACM Computing …, 2024 - dl.acm.org
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …

Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning

J Li, G Sun, Q Wu, D Niyato, J Kang… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Low Earth Orbit (LEO) satellites have emerged as crucial enablers of direct connections with
remote terrestrial terminals. However, energy limitations and insufficient antenna capabilities …

Multi-objective optimization for multi-uav-assisted mobile edge computing

G Sun, Y Wang, Z Sun, Q Wu, J Kang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing
(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

C Zhang, G Sun, J Li, Q Wu, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …

Sustainable UAV mobility support in integrated terrestrial and non-terrestrial networks

F Wang, S Zhang, J Shi, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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) …

Dual UAV cluster-assisted maritime physical layer secure communications via collaborative beamforming

J Huang, A Wang, G Sun, J Li, J Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime
wireless communications. However, complex channels and multipath effects at sea can …

UAV-enabled collaborative beamforming via multi-agent deep reinforcement learning

S Liu, G Sun, J Li, S Liang, Q Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

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 …

An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing

L He, G Sun, Z Sun, P Wang, J Li… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
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 …

A Two Time-Scale Joint Optimization Approach for UAV-assisted MEC

Z Sun, G Sun, L He, F Mei, S Liang… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
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 …