Evolution of non-terrestrial networks from 5G to 6G: A survey

MM Azari, S Solanki, S Chatzinotas… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

Internet of flying things (IoFT): A survey

S Zaidi, M Atiquzzaman, CT Calafate - Computer Communications, 2021 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have recently received significant attention by
the civilian and military community, mostly due to the fast growth of UAV technologies …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

Collaborate edge and cloud computing with distributed deep learning for smart city internet of things

H Wu, Z Zhang, C Guan, K Wolter… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

Task offloading for post-disaster rescue in unmanned aerial vehicles networks

Y Wang, W Chen, TH Luan, Z Su, Q Xu… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
Natural disasters often cause huge and unpredictable losses to human lives and properties.
In such an emergency post-disaster rescue situation, unmanned aerial vehicles (UAVs) are …

Energy-efficient multi-UAV-enabled multiaccess edge computing incorporating NOMA

X Zhang, J Zhang, J Xiong, L Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is regarded as a promising solution to overcome the
limit on the computation capacity of mobile devices. This article investigates an energy …

Energy consumption minimization in UAV-assisted mobile-edge computing systems: Joint resource allocation and trajectory design

J Ji, K Zhu, C Yi, D Niyato - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been introduced into wireless communication
systems to provide high-quality services and enhanced coverage due to their high mobility …

Vehicle assisted computing offloading for unmanned aerial vehicles in smart city

M Dai, Z Su, Q Xu, N Zhang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Smart city emerges a promising paradigm for improving operational efficiency of city and
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …

A cloud–MEC collaborative task offloading scheme with service orchestration

M Huang, W Liu, T Wang, A Liu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Billions of devices are connected to the Internet of Things (IoT). These devices generate a
large volume of data, which poses an enormous burden on conventional networking …

SEAL: A strategy-proof and privacy-preserving UAV computation offloading framework

Y Wang, Z Su, TH Luan, J Li, Q Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the limited battery and computing resource, offloading unmanned aerial vehicles
(UAVs)'computation tasks to ground infrastructure, eg, vehicles, is a fundamental framework …