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 …

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 toward a central controller (CC) for further processing and decision-making …

AI-enabled space-air-ground integrated networks: Management and optimization

P Zhang, N Chen, S Shen, S Yu, N Kumar… - IEEE Network, 2023 - ieeexplore.ieee.org
AI-enabled Beyond 5G (B5G) and 6G technologies are promising candidates to support the
future generation Space-Air-Ground Integrated Networks (SAGINs). The highly dynamic …

Federated split learning for sequential data in satellite–terrestrial integrated networks

W Jiang, H Han, Y Zhang, J Mu - Information Fusion, 2024 - Elsevier
Satellite–terrestrial integrated networks (STINs) have been proposed for B5G/6G mobile
communication, and the increase in the computation and communication capacities of …

Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation

M Sheng, D Zhou, W Bai, J Liu, H Li, Y Shi… - Science China Information …, 2023 - Springer
Since the base station-centric wireless coverage mode of 5G is difficult to support future
stereoscopic global wireless coverage demands, the future infrastructure of 6G satellite …

Federated learning in satellite constellations

B Matthiesen, N Razmi, I Leyva-Mayorga… - IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has recently emerged as a distributed machine learning paradigm
for systems with limited and intermittent connectivity. This paper presents the new context …

[PDF][PDF] On the security of LEO satellite communication systems: Vulnerabilities, countermeasures, and future trends

P Yue, J An, J Zhang, G Pan, S Wang, P Xiao… - Authorea …, 2023 - techrxiv.org
On the Security of LEO Satellite Communication Systems: Vulnerabilities, Countermeasures,
and Future Trends Page 1 P osted on 11 Jan 2020 — CC-BY-NC-SA 4 — h ttps://doi.org/10.36227/techrx …

Joint device scheduling and bandwidth allocation for federated learning over wireless networks

T Zhang, KY Lam, J Zhao, J Feng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) has been widely used to train shared machine learning models
while addressing the privacy concerns. When deployed in wireless networks, bandwidth …

Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis

SHA Kazmi, F Qamar, R Hassan, K Nisar… - Computer Networks, 2024 - Elsevier
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Frequency Selective Surface towards 6G Communication Systems: A Contemporary Survey

X Chen, J Tan, L Kang, F Tang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Frequency selective surfaces (FSSs) have attracted extensive attention for suppressing
interference and improving channel quality and coverage by selectively transmitting or …