2 citations · 5 across the 10 of their papers we have counts for
10 papers
Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
Ibrahim Aliyu, Seungmin Oh, Sangwon Oh +1
Advancements in extended reality (XR) are driving the development of the metaverse, which demands efficient real-time transformation of 2D scenes into 3D objects, a computation-int…
Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
Sulaiman Muhammad Rashid, Ibrahim Aliyu, Jaehyung Park +1
The Metaverse promises immersive, real-time experiences; however, meeting its stringent latency and resource demands remains a major challenge. Conventional optimization techniques…
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…
Towards a Partial Computation offloading in In-networking Computing-Assisted MEC: A Digital Twin Approach
Ibrahim Aliyu, Awwal Arigi, Seungmin Oh +2
This paper addresses the problem of minimizing latency with partial computation offloading within Industrial Internet-of-Things (IoT) systems in in-network computing (COIN)-assiste…
Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing
Ibrahim Aliyu, Awwal M. Arigi, Tai-Won Um +1
This paper addresses the challenge of representing complex human action (HA) in a nuclear power plant (NPP) digital twin (DT) and minimizing latency in partial computation offloadi…
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…
Graph neural network for in-network placement of real-time metaverse tasks in next-generation network
Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong +2
This study addresses the challenge of real-time metaverse applications by proposing an in-network placement and task-offloading solution for delay-constrained computing tasks in ne…
Dynamic Redundancy-aware Blockchain-based Partial Computation Offloading for the Metaverse in In-network Computing
Ibrahim Aliyu, Cho-Rong Yu, Tai-Won Um +1
The computing in the network (COIN) paradigm has emerged as a potential solution for computation-intensive applications like the metaverse by utilizing unused network resources. Th…