Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
AI-Empowered Virtual Network Embedding: A Comprehensive Survey
For the challenges posed by Internet rigidity, network virtualization (NV) technology emerges
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks
To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …
based, and ground-based networks have shown a trend of integration. Compared with the …
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 …
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) …
A web knowledge-driven multimodal retrieval method in computational social systems: Unsupervised and robust graph convolutional hashing
Y Duan, N Chen, AK Bashir… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Multimodal retrieval has received widespread consideration since it can commendably
provide massive related data support for the development of computational social systems …
provide massive related data support for the development of computational social systems …
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 …
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 …
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 …
Transformer-Based Discriminative and Strong Representation Deep Hashing for Cross-Modal Retrieval
S Zhou, Y Han, N Chen, S Huang, KK Igorevich… - IEEE …, 2023 - ieeexplore.ieee.org
Cross-modal hashing retrieval has attracted extensive attention due to its low storage
requirements as well as high retrieval efficiency. In particular, how to more fully exploit the …
requirements as well as high retrieval efficiency. In particular, how to more fully exploit the …