A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin, Z Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

Hierarchical aerial computing for Internet of Things via cooperation of HAPs and UAVs

Z Jia, Q Wu, C Dong, C Yuen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the explosive increment of computation requirements, the multiaccess edge computing
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …

Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey

MM Alam, MY Arafat, S Moh, J Shen - Journal of network and computer …, 2022 - Elsevier
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …

Low earth orbit satellite security and reliability: Issues, solutions, and the road ahead

P Yue, J An, J Zhang, J Ye, G Pan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-
increasing user demands, reduced costs, and technological progress. Since there is a lack …

[HTML][HTML] Survey on Q-learning-based position-aware routing protocols in flying ad hoc networks

MM Alam, S Moh - Electronics, 2022 - mdpi.com
A flying ad hoc network (FANETs), also known as a swarm of unmanned aerial vehicles
(UAVs), can be deployed in a wide range of applications including surveillance, monitoring …

Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G

S Sharif, S Zeadally, W Ejaz - Journal of Network and Computer …, 2023 - Elsevier
Abstract Space–air–ground–sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …

[HTML][HTML] Mobile edge computing in space-air-ground integrated networks: Architectures, key technologies and challenges

Y Qiu, J Niu, X Zhu, K Zhu, Y Yao, B Ren… - Journal of Sensor and …, 2022 - mdpi.com
Space-air-ground integrated networks (SAGIN) provide seamless global coverage and cross-
domain interconnection for the ubiquitous users in heterogeneous networks, which greatly …

Can high altitude platform stations make 6G sustainable?

D Renga, M Meo - IEEE Communications Magazine, 2022 - ieeexplore.ieee.org
The staggering growth of mobile traffic fostered by the spreading of 5G technology and
massive Internet of Things applications is leading to the need for extensive radio access …

Multi-objective Optimization of Space-Air-Ground Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms

G Zhou, L Zhao, G Zheng, S Song… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
As an attractive enabling technology for next-generation wireless communications, network
slicing supports diverse customized services in the global space–air–ground-integrated …