4 citations · 6 across the 5 of their papers we have counts for
5 papers
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah, Ibrahim Aliyu, Sulaiman Muhammad Rashid +3
Graph neural networks are gaining attention in fifth-generation (5G) core network digital twins, which are data-driven complex systems with numerous components. Analyzing these dat…
Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system
Sulaiman Muhammad Rashid, Ibrahim Aliyu, Abubakar Isah +4
This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice re…
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
Abubakar Isah, Ibrahim Aliyu, Jaechan Shim +2
Fifth-generation (5G) core networks in network digital twins (NDTs) are complex systems with numerous components, generating considerable data. Analyzing these data can be challeng…
Improving the Real-Data Driven Network Evaluation Model for Digital Twin Networks
Hyeju Shin, Ibrahim Aliyu, Abubakar Isah +1
With the emergence and proliferation of new forms of large-scale services such as smart homes, virtual reality/augmented reality, the increasingly complex networks are raising conc…
A Data-Driven Digital Twin Network Architecture in the Industrial Internet of Things (IIoT) Applications
Abubakar Isah, Hyeju Shin, Ibrahim Aliyu +5
A new network named the "Digital Twin Network" (DTN) uses the "Digital Twin" (DT) technology to produce virtual twins of real things. The network load and size continue to grow as…