When game theory meets satellite communication networks: A survey

W Jiang, H Han, M He, W Gu - Computer Communications, 2024 - Elsevier
Satellite communication networks have been considered an integral part of B5G and 6G
networks to achieve global coverage and enhanced Internet services. However, the …

QoS-Aware Multi-Hop Task Offloading in Satellite-Terrestrial Edge Networks

L Zhao, Y Liu, A Hawbani, N Lin… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Supporting Mobile Edge Computing (MEC) in satellite-terrestrial networks (STN) provides
essential offloading services for devices for the Internet of Things (IoT) devices in remote …

Secure federated learning in quantum autonomous vehicular networks

Q Xu, L Zhao, Z Su, D Fang, R Li - IEEE Network, 2023 - ieeexplore.ieee.org
With rapid developments of artificial intelligence (AI) and wireless communication
technologies, autonomous vehicular networks (AVNs) have emerged to provide convenient …

Completion Time Minimization for Multi-Antenna UAV-Enabled Multicasting With Rank-Two Multicast Beamforming

L Deng, C Wu, H Jiang, H Xiao, Y Luo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) information dissemination or multicast is a critical use case
for UAV communication systems. However, UAVs' size and load limitations limit their …

Hybrid OMA/NOMA Mode Selection and Resource Allocation in Space-Air-Ground Integrated Networks

X Wang, H Chen, F Tan - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Ground networks are facing severe challenges posed by the conflict between the increasing
number of terminals and limited coverage and network resources. The space-air-ground …

Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation

X Hao, C She, PL Yeoh, Y Liu, B Vucetic… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we develop a deep learning-based bandwidth allocation policy that is: 1)
scalable with the number of users and 2) transferable to different communication scenarios …

Verifiable and Privacy-Preserving Cooperative Federated Learning in UAV-Assisted Vehicular Networks

Q Xu, Y Lan, Z Su, D Fang… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is a promising distributed learning paradigm, which enables
devices to collaboratively train an AI model without exposing participants' private data …

Design and Performance Analysis of Cache-Enabled Multicast in UAV-Assisted Cellular Networks

J Guo, S Durrani, X Zhou, Z Fei - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The temporary events are generally gathered around many users interested in the same
content. An unmanned aerial vehicle (UAV) with caching and multicasting is attractive for …

基于聚类算法内容流行度预测的空天地一体化网络缓存方法

仇超, 王晨阳 - 天地一体化信息网络, 2024 - infocomm-journal.com
针对空天地一体化网络中恶劣的自然条件可能造成连通异常和通信阻塞的情况,
对一种新的空天地一体化网络缓存方法进行研究, 即基于聚类的内容缓存方法 …

QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network

Z Yang, J Miao, T Zhang, X Tang… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted video streaming is gaining growing interests in
satellite-terrestrial networks due to the mobility and caching capability. However, it is …