Aerospace integrated networks innovation for empowering 6G: A survey and future challenges

D Zhou, M Sheng, J Li, Z Han - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …

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 …

Joint optimization of caching placement and power allocation in virtualized satellite-terrestrial network

H Zhang, J Xu, X Liu, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of mobile services and applications, the transmitting of massive
data makes low-cost communication a challenge. Edge-based wireless communication …

A graph neural network learning approach to optimize RIS-assisted federated learning

Z Wang, Y Zhou, Y Zou, Q An, Y Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …

6G service coverage with mega satellite constellations

M Sheng, D Zhou, W Bai, J Liu, J Li - China Communications, 2022 - ieeexplore.ieee.org
The rapid development and continuous updating of the mega satellite constellation (MSC)
have brought new visions for the future 6G coverage extension, where the global seamless …

Seamless handover in LEO based non-terrestrial networks: Service continuity and optimization

F Wang, D Jiang, Z Wang, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Developing non-terrestrial networks (NTN) in future wireless networks has been widely
recognized to bring advanced communication services to remote and unserved areas. The …

Two-timescale learning-based task offloading for remote IoT in integrated satellite-terrestrial networks

D Han, Q Ye, H Peng, W Wu, H Wu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In this article, we propose an integrated satellite–terrestrial network (ISTN) architecture to
support delay-sensitive task offloading for remote Internet of Things (IoT), in which satellite …

[PDF][PDF] Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review

JH Joloudari, R Alizadehsani, I Nodehi… - arXiv preprint arXiv …, 2022 - easychair.org
With the increasing growth of information through smart devices, increasing the quality level
of human life requires various computational paradigms presentation including the Internet …

Multi-agent Reinforcement Learning-Based Orbital Edge Offloading in SAGIN Supporting Internet of Remote Things

S Zhang, A Liu, C Han, X Liang, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
We investigate a computing task scheduling problem in space–air–ground integrated
network (SAGIN) for Internet of Remote Things (IoRT). In the considered scenario, the …

[HTML][HTML] A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues

K Lone, SA Sofi - High-Confidence Computing, 2023 - Elsevier
There is an exponential increase in the number of smart devices, generating helpful
information and posing a serious challenge while processing this huge data. The processing …