Multi-domain virtual network embedding algorithm based on horizontal federated learning
Network Virtualization (NV) is an emerging network dynamic planning technique to
overcome network rigidity. As its necessary challenge, Virtual Network Embedding (VNE) …
overcome network rigidity. As its necessary challenge, Virtual Network Embedding (VNE) …
Non-Euclidean graph-convolution virtual network embedding for space–air–ground integrated networks
For achieving seamless global coverage and real-time communications while providing
intelligent applications with increased quality of service (QoS), AI-enabled space–air …
intelligent applications with increased quality of service (QoS), AI-enabled space–air …
Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge Multi-Tier Computing Network
With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …
Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE
As electric vehicle (EV) ownership becomes more commonplace, partly due to government
incentives, there is a need also to design solutions such as energy allocation strategies to …
incentives, there is a need also to design solutions such as energy allocation strategies to …
Resource Allocation for Space-Air-Ground Integrated Networks: A Comprehensive Review
H Liang, Z Yang, G Zhang, H Hou - Journal of Communications …, 2024 - ieeexplore.ieee.org
The space-air-ground integrated networks (SAGIN) has emerged as a critical paradigm to
address the growing demands for global connectivity and enhanced communication …
address the growing demands for global connectivity and enhanced communication …
Multi-target-aware energy orchestration modeling for grid 2.0: A network virtualization approach
L Wang, Z Zheng, N Chen, Y Chi, Y Liu, H Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
Smart Grid–Grid 2.0, is a promising grid scenario due to its low cost, high reliability, and high
security. However, the high-intensity complex task interaction and the differentiated Quality …
security. However, the high-intensity complex task interaction and the differentiated Quality …
Energy-Efficient Scheduling in UAV-Assisted Hierarchical Wireless Sensor Networks
R Lai, B Zhang, G Gong, H Yuan, J Yang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In emerging applications of the Internet of Things, wireless sensor networks (WSNs) are
often utilized to gather, track, and monitor data in remote areas with limited communication …
often utilized to gather, track, and monitor data in remote areas with limited communication …
Virtual Network Embedding for Task Offloading in IIoT: A DRL-Assisted Federated Learning Scheme
The Industrial Internet of Things (IIoT) promotes the deep integration of new-generation
communication technologies and industrial ecology. However, the popularity of computing …
communication technologies and industrial ecology. However, the popularity of computing …
Local search resource allocation algorithm for space-based backbone network in Deep Reinforcement Learning method
With the evolution of Space-based backbone networks, the demand for enhanced efficiency
and stability in network resource allocation has become increasingly critical, presenting a …
and stability in network resource allocation has become increasingly critical, presenting a …
Joint Coded Caching and Resource Allocation for Multimedia Service in Space-Air-Ground Integrated Networks
F Yin, Q Liu, D Liu, Y Zhang, L Jin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In order to support colourful multimedia services with strict quality-of-service (QoS)
requirements of user equipments (UEs), the space-air-ground integrated networks (SAGIN) …
requirements of user equipments (UEs), the space-air-ground integrated networks (SAGIN) …