Multi-objective resource optimization in space-aerial-ground-sea integrated networks

S Sharif, M Liaq, W Ejaz - 2023 IEEE Symposium on Wireless …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) networks envision space-air-ground-sea integrated (SAGSI) networks
connecting satellite, aerial, ground, and sea networks to provide constant connectivity. A …

Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach-A Review

P Kamble, AN Shaikh - … on Advancements in Smart Computing and …, 2022 - Springer
Currently, the number of mobile devices is growing exponentially. To cope with the demand,
a highly efficient network is required. This rising need for high-speed mobile data rates of up …

Data-driven Intra-Autonomous Systems Graph Generator

CV Dadauto, NLS da Fonseca, RS Torres - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces a novel deep-learning based generator of synthetic graphs that
represent intra-Autonomous System (AS) in the Internet, named Deep-generative graphs for …

Fuzzy Logic Intelligent Space Routing Convolutional Decision and Optimization Scheme

N Wei, L Zheng, Y Chen, R Zhu, S Ren, X Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
This study mainly addresses the problem of spatial information network link congestion and
how to ensure the quality of user experience, while improving the accuracy and …

Joint Task Scheduling and Intelligence Optimization in CPN-Enabled Connected Intelligence Systems

G Xie, R Xie, Q Tang, S Wu, W Wang… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
As Artificial Intelligence (AI) has flourished in various industries in recent years, the
evolutionary trend of endogenous network intelligence continues to accelerate. Connected …

FeSAC: Federated Learning-Based Soft Actor-Critic Traffic Offloading in Space-Air-Ground Integrated Network

F Tang, Y Yang, X Yao, M Zhao, N Kato - arXiv preprint arXiv:2212.02075, 2022 - arxiv.org
With the increase of intelligent devices leading to increasing demand for traffic, traffic
offloading has become a challenging problem. The space-air-ground integrated network …

Performance Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle

J Tan, F Tang, M Zhao, N Kato - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
With the explosive growth of mobile data traffic, the Space-Air-Ground integrated network
(SAGIN) has attracted the attention of academia and industry. As the communication …

Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks

B Nour, S Cherkaoui - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Federated Edge Learning (FEEL) is a promising distributed learning technique that aims to
train a shared global model while reducing communication costs and promoting users' …

The Novel Generally Described Graphs for Cyclic Orthogonal Double Covers of Some Circulants

A El-Mesady, T Farahat, R El-Shanawany… - Lobachevskii Journal of …, 2023 - Springer
Circulant graphs nowadays have a vast number of important applications due to the
tremendous developments in modern technologies. Interconnection networks are always …

Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning

W Yajun, Z Liang - Mobile Information Systems, 2022 - Wiley Online Library
Distance education resources are the essential components of modern distance learning
systems, and the development of high-quality resources is a potent assurance of modern …