UAV assistance paradigm: State-of-the-art in applications and challenges

B Alzahrani, OS Oubbati, A Barnawi… - Journal of Network and …, 2020 - Elsevier
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 …

Large language models for uavs: Current state and pathways to the future

S Javaid, H Fahim, B He… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

Optimal UAV caching and trajectory in aerial-assisted vehicular networks: A learning-based approach

H Wu, F Lyu, C Zhou, J Chen, L Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the UAV-aided edge caching to assist terrestrial vehicular
networks in delivering high-bandwidth content files. Aiming at maximizing the overall …

Blockchain-based secure spectrum trading for unmanned-aerial-vehicle-assisted cellular networks: An operator's perspective

J Qiu, D Grace, G Ding, J Yao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are envisioned to be widely deployed as an integral
component in the next generation cellular networks, where spectrum sharing between the …

Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems

Z Hu, F Zeng, Z Xiao, B Fu, H Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the
network, it is likely to cause severe propagation loss between the edge server and users …

Predictive deployment of UAV base stations in wireless networks: Machine learning meets contract theory

Q Zhang, W Saad, M Bennis, X Lu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, a novel framework is proposed to enable a predictive deployment of
unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground …

Coarse trajectory design for energy minimization in UAV-enabled

DH Tran, TX Vu, S Chatzinotas… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, we design the UAV trajectory to minimize the total energy consumption while
satisfying the requested timeout (RT) requirement and energy budget, which is …

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Resource management in UAV-assisted wireless networks: An optimization perspective

R Masroor, M Naeem, W Ejaz - Ad Hoc Networks, 2021 - Elsevier
Wireless networks are expected to provide connectivity to an increasing number of users
with heterogeneous requirements. Future wireless networks will integrate aerial and …

Big data on the fly: UAV-mounted mobile edge computing for disaster management

J Xu, K Ota, M Dong - IEEE Transactions on Network Science …, 2020 - ieeexplore.ieee.org
After disasters, network communication is highly susceptible to disruption. In this case, we
may need solutions without original architectures to meet the requirements of connectivity …