A survey on resource management for 6G heterogeneous networks: current research, future trends, and challenges
The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
Blockchain for dynamic spectrum access and network slicing: A review
Dynamic spectrum access (DSA) and network slicing are some of the principal concepts to
realize the emerging applications in Beyond 5th Generation (B5G) and 6th Generation (6G) …
realize the emerging applications in Beyond 5th Generation (B5G) and 6th Generation (6G) …
Hypergraph based resource-efficient collaborative reinforcement learning for B5G massive IoT
F Yang, C Yang, J Huang, K Yu, S Garg… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Beyond 5G (B5G) networks rapidly growing to connect billions of Internet of Things (IoT)
devices and the dense deployment of IoT devices leads the large-scale network conflict and …
devices and the dense deployment of IoT devices leads the large-scale network conflict and …
Hypergraph-based interference avoidance resource management in customer-centric communication for intelligent cyber-physical transportation systems
J Huang, S Zhang, F Yang, T Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In customer-centric communication for intelligent cyber-physical transportation systems
(ICTS), the extensive deployment of customer electronics will lead to massive overlapping …
(ICTS), the extensive deployment of customer electronics will lead to massive overlapping …
A Hierarchical Network Management Strategy for Distributed CIIoT With Imperfect CSI
F Yang, S Zhang, C Liu, J Huang, T Yu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the distributed Cognitive Industrial Internet of Things (CIIoT), since industrial devices may
self-organize to determine their connection and dispersion and the network may be …
self-organize to determine their connection and dispersion and the network may be …
An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing
N Wang, S Pang, X Ji, H Gui, X He - Future Generation Computer Systems, 2024 - Elsevier
With the continuous popularization and evolution of 5G and 6G, mobile edge computing has
achieved rapid development. This study explores the New Generation Mobile Edge …
achieved rapid development. This study explores the New Generation Mobile Edge …
AoI-Aware Resource Allocation With Interference Avoidance for Ultra-Dense Industrial Internet of Things Networks
J Huang, T Yu, F Yang, S Zhang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In an ultra-dense Industrial Internet of Things (UDI-IoT) network with device-to-device (D2D)
communication technology applied, interaction among a large number of industrial Internet …
communication technology applied, interaction among a large number of industrial Internet …
Web 3.0 security: Backdoor attacks in federated learning-based automatic speaker verification systems in the 6G era
Y Wu, J Chen, T Lei, J Yu, MS Hossain - Future Generation Computer …, 2024 - Elsevier
With the advent of Next-Generation Web 3.0 and the integration of 6G technologies, digital
industrial applications are undergoing unprecedented transformations. Among these, the …
industrial applications are undergoing unprecedented transformations. Among these, the …
[PDF][PDF] Design of a reinforcement learning-based intelligent car transfer planning system for parking lots
F Guo, H Xu, P Xu, Z Guo - Mathematical Biosciences and …, 2024 - aimspress.com
In this study, a car transfer planning system for parking lots was designed based on
reinforcement learning. The car transfer planning system for parking lots is an intelligent …
reinforcement learning. The car transfer planning system for parking lots is an intelligent …